Apparatuses, methods, and systems for providing a reconfigurable insurance quote generator user interface

ABSTRACT

The present disclosure describes an approach to constructing and implementing risk rating products that provides a number of advantages. Instead of hard-coding attributes of a risk rating scheme, which requires the assistance of a trained programming specialist for any modifications, adjustments, or new products, the present invention provides a set of modular tools that assist non-specialists in on-the-fly generation and implementation of risk rating products. The modularity of this approach facilitates the modification and/or updating of a system component without affecting the operation of other components. Described herein are embodiments of system tools configured to read a risk rating scheme data-structure and generate a user interface whereby a user may enter information characteristic of an insurable risk and receive a quote indicative of a price for binding an insurance policy to the candidate risk.

RELATED APPLICATIONS

This disclosure claims priority to U.S. Provisional Patent ApplicationNo. 60/834,465 entitled, “Methods and Systems for Authoring andEvaluating Logical Rules,” filed on Jul. 31, 2006, U.S. ProvisionalPatent Application No. 60/840,133 entitled, “Methods and Systems forCollecting and Processing Information for Insurance Price Quotes &Applications,” filed on Aug. 25, 2006, and U.S. Provisional PatentApplication No. 60/856,509 entitled, “Methods and Systems for EvaluatingProfitability Associated with the Addition of an Insurance Policy to aPortfolio,” filed on Nov. 3, 2006, which are incorporated in theirentirety herein by reference.

This application is related to commonly assigned and U.S. applicationSer. No. 11/831,765; Inventors: Terrence McLean and Richard Ziade),entitled, “Apparatuses, Methods, and Systems for a ReconfigurableInsurance Quoting Engine,” and filed on Jul. 31, 2007, which isincorporated herein by reference in its entirety.

This application is related to commonly assigned and U.S. applicationSer. No. 11/831,834; Inventors: Terrence McLean and Richard Ziade),entitled, “Apparatuses, Methods, and Systems for Building a RiskEvaluation Product,” and filed on Jul. 31, 2007, which is incorporatedherein by reference in its entirety.

This application is related to commonly assigned and U.S. applicationSer. No. 11/831,848; Inventors: Terrence McLean and Richard Ziade),entitled, “Apparatuses, Methods, and Systems for Providing a RiskEvaluation Product Builder User Interface,” and filed on Jul. 31, 2007,which is incorporated herein by reference in its entirety.

This application is related to commonly assigned and U.S. applicationSer. No. 11/831,869; Inventors: Terrence McLean and Richard Ziade),entitled, “Apparatuses, Methods, and Systems for Providing a RiskScoring Engine User Interface,” and filed on Jul. 31, 2007, which isincorporated herein by reference in its entirety.

FIELD

The present invention relates generally to systems and methods forgenerating insurance products and more particularly to apparatuses,methods, and systems for providing a reconfigurable insurance quotegenerator user interface.

BACKGROUND

Reinsurance is a way for an insurance company to protect itself fromlosses due to a catastrophic event. Reinsurance allows an insurer toprotect policy holders against risks greater than the insurer woulditself, alone, could provide. Often times such extended protection isachieved by sharing the risk with a lead reinsurer and one or morefollowing reinsures. Although the risk is spread and borne among themultiple reinsures, the lead reinsurer sets the premiums and othercontract conditions.

SUMMARY

Determining reinsurance cost is important in order to decide whether ornot an additional policy is beneficial. In order for insurance companiesto profitably manage both individual insurance policies and portfoliosof insurance policies, it is beneficial for companies to have aframework to find the financial impact, as well as other relatedfinancial, risk, and mathematical metrics, of adding policies to aportfolio. Policies are desirably determined based on location andlikelihood of damage from threats, for example, flood, fire, badweather, and others. The determination of the desirable policies and thedecision process as to each individual policy is complex and oftendifficult to calculate quickly and comprehensively.

The approach to constructing and implementing risk rating productsdisclosed herein provides a number of advantages. Instead of hard-codingattributes of the risk rating scheme, which requires the assistance of atrained programming specialist for any modifications, adjustments, ornew products, the present invention provides a set of modular tools thatassist non-specialists in on-the-fly generation and implementation ofrisk rating products. The modularity of this approach facilitates themodification and/or updating of a system component without affecting theoperation of other components. Described herein are embodiments ofsystem tools configured to read a risk rating scheme data-structure andgenerate a user interface whereby a user may enter informationcharacteristic of an insurable risk and receive a quote indicative of aprice for binding an insurance policy to the candidate risk.

In one embodiment, a processor-implemented method to generate areinsurance product quote is disclosed, comprising: reading areinsurance product database for reinsurance product identifying basecriteria; providing a reinsurance product selecting interface to displaythe reinsurance product identifying base criteria and allow a user toselect among the reinsurance product identifying base criteria; loadinga reinsurance product data-structure from the reinsurance productdatabase based on a users selections from the reinsurance productselecting interface; reading quote specific data-structure elements fromthe reinsurance product data-structure; generating a reinsurance quoteuser interface from the quote specific data-structure elements;providing a reinsurance quote user interface to a user; receiving userspecifications via the reinsurance quote user interface; retrievinglogic sets specified by the reinsurance product data-structure; applyinglogic sets to user specifications; and, providing a reinsurance productspecific quote to the user if the user's specifications were acceptablebased on the applying logic sets to user specifications.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying appendices and/or drawings illustrate variousnon-limiting, example, inventive aspects in accordance with the presentdisclosure:

FIGS. 1A-B show a system overview and data-flow in one embodiment ofsystem operation;

FIG. 2 is a flow chart illustrating steps of a method according to oneembodiment of system operation;

FIG. 3 is a flow chart illustrating steps of a method according to oneembodiment of system operation;

FIG. 4 denotes an implementation of data flow of cxRisk as itcommunicates with vendor models in one embodiment of system operation;

FIG. 5 shows an implementation of cxRisk GetAnalysis in one embodimentof system operation;

FIG. 6 shows an implementation of data flow for the rate determinationprocess in one embodiment of system operation;

FIG. 7 shows an implementation of cxLogic process flow in one embodimentof system operation;

FIG. 8 shows an implementation of logic flow for the consume process ofthe cxLogic module in one embodiment of system operation;

FIG. 9 shows an implementation of logic flow for rule evaluation in oneembodiment of system operation;

FIG. 10 shows an implementation of further logic flow for ruleevaluation in one embodiment of system operation;

FIG. 11 shows interactions between a calling application and cxLogic inone embodiment of system operation;

FIG. 12 shows interactions between a calling application and cxLogic inanother embodiment of system operation;

FIG. 13 shows interactions between a calling application and cxLogic inanother embodiment of system operation;

FIG. 14 shows an implementation of data flow for pxQuote in oneembodiment of system operation;

FIG. 15 shows integration of pxQuote with cxLogic in one embodiment ofsystem operation;

FIG. 16 shows an implementation of the overall product schema in oneembodiment of system operation;

FIG. 17 shows an implementation of a policy request schema in oneembodiment of system operation;

FIGS. 18A-F show an implementation of a workbook schema in oneembodiment of system operation;

FIG. 19A-D show an implementation of an insurance application schema inone embodiment of system operation;

FIG. 20 shows an implementation of a post-processing calculation schemain one embodiment of system operation;

FIGS. 21A-B shows an implementation of a header schema for metadata inone embodiment of system operation;

FIG. 22 shows an implementation of a user interface showing systemrequirements in one embodiment of system operation;

FIG. 23 shows an implementation of a user interface for managingexisting quotes and applications in one embodiment of system operation;

FIG. 24 shows an implementation of a user interface admitting entry ofan effective date of a policy in one embodiment of system operation;

FIG. 25 shows an implementation of a user interface for selecting aproducer code in one embodiment of system operation;

FIG. 26 shows an implementation of a user interface for completing aquote form in one embodiment of system operation;

FIG. 27 shows an implementation of a user interface showing an errormessage in one embodiment of system operation;

FIG. 28 shows an implementation of a user interface showing a completedquote in one embodiment of system operation;

FIG. 29 shows an implementation of a user interface for generating theapplication graphical user interface in one embodiment of systemoperation;

FIG. 30 shows an implementation of a user interface for applicationsubmission in one embodiment of system operation;

FIGS. 31A-AA show aspects of the pxBuilder module in one embodiment ofsystem operation;

FIG. 32 shows aspects of the cxRisk module in one embodiment of systemoperation;

FIGS. 33A-E show one implementation of adding a new field to a workbookthat is evaluated by a new cxLogic ruleset in one embodiment of systemoperation;

FIGS. 34A-B is of a block diagram illustrating embodiments of thepresent invention of a Provider controller;

APPENDIX 1 provides details of one embodiment of system operation;

APPENDIX 2 provides details of one embodiment of system operation;

APPENDIX 3 provides details of one embodiment of system operation; and

The leading number of each reference number within the drawingsindicates the figure in which that reference number is introduced and/ordetailed. As such, a detailed discussion of reference number 101 wouldbe found and/or introduced in FIG. 1. Reference number 201 is introducedin FIG. 2, etc.

DETAILED DESCRIPTION

In order to address various issues such as those discussed above, theinvention is directed to apparatuses, methods, and systems for providinga reconfigurable insurance quote generator user interface. For purposesof this specification, the term “insurance” products refers to insuranceproducts as well as reinsurance products. Reinsurance is a way for aninsurance company to protect itself from losses due to a catastrophicevent, and reinsurance costs can be an important consideration indeciding whether or not to bind a given candidate risk or and/or issuean insurance policy. It is to be understood that depending on theparticular needs and/or characteristics of an insurance carrier, vendormodel, candidate risk, or system user, various embodiments of thesesystems and methods may be implemented that enable a great deal offlexibility and customization. The instant disclosure discusses anembodiment of the system within the context of assessing and bindingrisks. However, it is to be understood that the system described hereinmay be readily configured/customized for a wide range of applications orimplementations. For example, aspects of the system may be configuredfor use in various other rule management, portfolio analysis, and pricequoting applications.

The following figures and associated discussion illustrate, by way ofexample only, particular embodiments and implementations of systemoperation.

System Overview

FIG. 1A shows an overview of system operation, including variousentities, components, modules and/or the like comprising and/or coupledto the system, in one embodiment. An insurance carrier may provideinputs 101 to a pxBuilder module 102 in order to generate a workbook 103that describes a risk rating system (alternatively a “rater”) that maybe employed in the rating and/or otherwise evaluation of a risk (whichmay interchangeably be referred to herein as a “policy” or “insurancepolicy” for the insurance policies that may cover and/or bind the risk).The workbook (which may interchangeably be referred to herein as a“product”) is, in one embodiment an XML document that specifies aspectsof an insurance rating and/or implementation scheme, including suchfeatures as required and/or suggested user inputs, expressions (e.g.,mathematical calculations), calls to lookup tables, calls to variouslogical and/or business rules, payment plans and/or schedules, policydocuments, and/or the like. pxBuilder 102 may provide a user interfacethrough which a carrier may enter information pertaining to an insuranceproduct and/or risk rating scheme in order to generate the workbook 103.

A completed workbook 103, embodying a risk rating scheme, may be passedto a pxQuote module 104, which is equipped to interpret the XML datacontained in the workbook and implement the corresponding risk ratingscheme. Based in part on workbook data, pxQuote may generate a userinterface (UI) 105 that is capable of receiving user inputs 106 (e.g.,from an agent of the insurance carrier) describing characteristics of acandidate risk, and generating a corresponding quote for binding thatrisk 107. The pxQuote module 104 is also capable of supplying policydocuments, managing payment schedules, and/or otherwise implementing oradministering the risk rating scheme.

The workbook 103 supplied to pxQuote 104 may specify, among otherthings, a set of rule calls 108 that call to rules in a cxLogic module109. The cxLogic module contains and/or provides access to a number ofrules, contained in a rulesets database 110, and is equipped to evaluatequeries 108, such as may be based on user inputs 106, based on thoserules. For example, a given workbook pertaining to an insurance productmay query a user for details of the composition of constructionmaterials for a building and call to a rule checking for the presence ofasbestos within those materials. The input information and the call aresent to cxLogic, which evaluates the rule and returns an evaluation 111(e.g., True, False, Error, Disabled, and/or the like) to pxQuote 104.The result of the rule evaluation may then be interpreted by pxQuote, inlight of the workbook 103, to proceed with further risk rating and/orprocessing. For example, if the rule pertaining to asbestos describedabove is evaluated to True, the workbook may specify that an insuranceand/or reinsurance policy should not be granted for the candidate riskregardless of other risk characteristics, and the pxQuote module willsubsequently implement the restriction and provide the user with anindication thereof.

For nominally eligible risks, the pxQuote module 104 may orchestrate therating, scoring, and/or other evaluation of risk characteristics inconjunction with the cxRisk module 113. cxRisk may be configured toreceive risk characteristics and relay them, via an interface modulecxCat 114, to one or more external vendor models 115 capable ofgenerating event loss tables (ELTs, or alternatively referred to asevent loss files or ELFs) that represent estimated loss distributionsand characterize the likelihoods and/or probabilities associated withparticular events and/or perils which may be relevant to the candidaterisk. For example, a candidate risk may relate to providing floodinsurance for a building in the Mississippi Valley, and an ELT for sucha risk may include loss distribution of each simulated event and anestimated likelihood of flooding, extreme rainfall, levee failure,and/or the like. In another implementation, the ELT may further estimatethe loss to the insurance carrier for different events and/or perilsbased on the degree of coverage provided. Vendor models may receivecandidate risk characteristics from cxRisk and output ELTs.Alternatively, cxRisk may use candidate risk characteristics to queryentries in a large database of existing ELTs and/or event likelihooddata, referred to herein as cxCheetah 115, in order to expedite therating process. Based on consultation with either the vendor models orcxCheetah 115, the cxRisk module 113 may determine a set of financialmetrics 116 that characterize the candidate risk. These metrics may bepassed back to pxQuote 104 for use in generating a quote. pxQuote 104may further query cxLogic 109 again based on the financial metrics todetermine whether binding a given candidate risk is desirable based onthe financial metrics determined by cxRisk 113. In an alternativeimplementation, cxRisk may be configured to communicate directly withcxLogic. This may be advantageous, for example, in allowing cxLogic toemploy cxRisk directly in the evaluation of a rule related to a riskrating and/or financial metric.

The approach to constructing and implementing risk rating productsdisclosed herein provides a number of advantages over existing insurancerating systems. In the past, rating products were hard coded withattributes of the risk rating scheme, and any modifications,adjustments, or new products required the assistance of a trainedprogramming specialist. The present invention eliminates thatrequirement by providing a set of modular tools that assistnon-specialists in the on-the-fly generation and implementation of riskrating products. Furthermore, the modularity of the approach facilitatesthe modification and/or updating of a system component without affectingthe operation of other components.

Further aspects of system operation, including detailed informationsurrounding each of the system components, are discussed below.

System Data Flow

FIG. 1B shows data flow between various entities comprising and/or incommunicative contact with the system 117 in one embodiment of systemoperation. A system controller 119 may serve as a central element in thesystem 117, facilitating much of the functionality described herein aswell as providing a conduit that carries and/or directs communicationsbetween other system components. The system controller 119 may becommunicatively coupled with a pxQuote module 120 to exchange a varietyof data such as risk characteristic data and/or assessments, financialmetrics, rulesets and/or evaluations, lookup table values, risk bindingquotes, workbooks, and/or the like. The pxQuote module is configurableto perform a number of tasks, including generate and manage operation ofa user interface 122, generate risk raters, receive and process riskcharacteristic inputs, communicate with cxLogic and cxRisk, track andprocess customer payments, supply documents pertaining to a risk orpolicy, and/or the like. The pxQuote module may further be coupled to apxBuilder module 121, which provides visual tools for users to generateworkbook XML documents (or “products”) representing risk rating schemes.The workbooks/products may be saved, edited, reused, modified, and/orthe like and are interpreted by the pxQuote module to implement theunderlying rating scheme (e.g., receive inputs, call rules, call lookuptable values, maintain payment schedules, deliver policy documents,and/or the like).

A workbook or product is a fully descriptive, abstract representation ofan insurance product which includes all of the components necessary torate and bind an insurance policy. These may include but are not limitedto:

-   -   Information about the Product, such as name/label/the person        that created the document and other top-level information.    -   Base criteria for that Product. In one embodiment, the base        criteria are the user designated attributes which are used to        determine which Product the software application should use for        rating. The base criteria are the unique identifying attributes        of the Product, such as (but not limited to) Product Name, Date        and Insurance Carrier. The software engine and Insurance Product        schema can handle and work at run-time with any number of user        supplied base criteria.    -   Description of inputs for that Insurance Product. In one        embodiment, the inputs section is a semantic description of all        of the inputs in force for that product (using the xForms        mark-up language), including the Quote and Application forms.        This includes validation for min and max values, length, data        type, enumerated values, and other semantic descriptions of the        input data. In addition, the model is housed in the input        section of the Product, which details the exact structure of the        XML document that the server requires for communicating with it.        Each interfacing client then interprets the input descriptions        into their interface language for display to the user, as well        as the model for the exact structure of the document to use to        send to the server as a request for a rate via a Policy Request.    -   Table data. In one embodiment, an XML representation of all        table look-up data needed to process the insurance rate is        housed in the Insurance Product. Examples of this data are base        insurance rates which are then modified according to the data        sent in the Request.    -   Ruleset references. In one embodiment, each Insurance Product        houses the references to Rulesets, along with the action that        pxQuote's rating server should take upon a triggering        evaluation. This controls how the pxQuote platform will block        policies containing offending data, or be used to flag a policy        for review, or inform the agent with specific text.    -   Rating filters. In one embodiment, an Insurance Product contains        rating filters that will drive additional logic either before        (Pre-rating filter) or after (Post-rating filter) rating the        insurance policy. Examples of this include processing rulesets,        calling external services such as cxRisk to obtain additional        data needed for rating the policy, and electronic payment        processing before binding the policy.    -   Description of the Submission form. In one embodiment, the Quote        and Application forms are described semantically in the Product        XML, which allows clients to process this into their native        interface elements for display to a user (process described        above.) In an alternative embodiment, there is an additional        level of abstraction added, via an xForms semantic description,        to the Submission form. This allows business users to describe        the elements, layout, payment plans accepted and submission        process within an Insurance Product. There are additional nodes        capturing the following: a semantic description of input        elements to be displayed on the Submission form (such as name on        credit card, check name, billing address); description of        payment plans that should be offered for that product; variables        that need to be mapped for display to the agent (such as payment        amounts per plan selected); any confirming text that the agent        must acknowledge before binding the policy; background or        metadata required to process a payment, such as merchant account        for that Carrier/Product or payment gateway data (Verisign        data); links to additional static information housed on the        business website, such as privacy and refund policies and        descriptions of the payment plans; note—the payment        data-structure to be sent to the server on a binding request is        already accounted for in the current input model, as it is a        part of the PolicyRequest.    -   Abstraction of the document generation thresholds. In one        embodiment, the server exposes which documents are available for        the current version of the policy via the creation of a node in        the Insurance Policy, created from some logic housed outside of        the Insurance Product. In an alternative embodiment, that logic        is moved out of code and into the Product. This allows business        users to interact with the Product directly to alter the logic        to show or hide a document for a policy state, or introduce an        entire new document to the policies rated against a Product,        without a software enhancement. Generally, the available        documents are dictated by the state of the policy, and are often        keyed off the following: the presence and value of flags on the        policy (such as submitted for offline payment or issued flags);        the state of the policy (e.g., bound, quote, application, etc.),        percentage complete, and/or the like.

The pxQuote module 120 may further be coupled to a documents database123, containing documents that are tied to an insurance product based oncarrier. Each insurance carrier utilizing the system may have a recordof which documents to show at a certain percentage of the quotingprocess, and in which order. In one embodiment, the XML specifying thesedocuments for a particular carrier (e.g., Insurance, Inc.) may take aform similar to the following example:

 <InsuranceCarrier archived=“false” id=“II” label=“Insurance, Inc.”version=“6”>   <DocumentTemplates>    <CarrierSpecific>     <IncludeDocumentTemplate id=“II_QUOTESHEET”  includeatpercentage=“0” order=“1”/>    <Include DocumentTemplate id=“II_APPLICATION” includeatpercentage=“0” order=“2”/>     <Include DocumentTemplate  id=“II_AUTHORIZATION” includeatpercentage=“0” order=“3”/>    <IncludeDocumentTemplate   id=“II_PREMIUMINVOICE” includeatpercentage=“0”order=“4”/>    <Include DocumentTemplate id=“II_PROOF” includeatpercentage=“100” order=“5”/>    </CarrierSpecific>  </DocumentsTemplates>  </InsuranceCarrier>

In the above data-structure, the id attribute references the id of theassociated document template, the includeatpercentage attributedetermines the point in the quoting process at which a document shouldbe visible and/or supplied, and the order attribute determines in whichorder the documents should be displayed.

The pxQuote module 120 may further be coupled to a payments database124, containing records of payments made with respect to a given riskand/or policy. In one embodiment, the XML specifying a credit cardpayment may take a form similar to the following example:

<payments totalamountpaid=“2500” totalbalancedue=“0”totalpremium=“2500”> <payment amount=“2500”datetime=“2007-07-18T12:13:50” method=“creditcard” success=“true”> <creditcardinfo cardholdername=“TEST CC USER” cardnumbermask=“1111”cardtype=“Vista” expirationmonth=“01” expirationyear=“2010”>  <processorresponse>    <data transactionResult=“ISLVN-   AAABBBCCCDDD-20070718111322”/>    </processorresponse>  </creditcardinfo>  </payment> </payments>

In one embodiment, the XML specifying a check payment may take a formsimilar to the following example:

<payments totalamountpaid=“2500” totalbalancedue=“0”totalpremium=“2500”> <payment amount=“2500”datetime=“2007-06-15T15:11:37” method= check” success=“true”> <checkinfo checknumber=“1111” nameoncheck=“TESTCHECK”/> </payment></payments>

The pxQuote module 120 may further be coupled to a products database125, containing products, which are XML data documents which fullydescribe a risk rater, including the interface description, tablelookups, processes, pricing logic, logic and/or business rules,expressions, and/or the like. A given carrier may interact with the userinterface to generate one or more risk raters embodied and/or stored asproducts in the product database 125. In an alternative embodiment,carriers may generate risk raters via pxQuote and store products and/orraters in their own local databases. Table lookups specified within agiven product may refer to entries in a Table Lookups database 145,containing data and or tables of data relevant to the rating of risks.Logic and/or business rules specified within a given product may referto entries in a Rulesets database 160, containing rules (e.g., Booleanlogic conditions) that may be evaluated based on user inputs, tablevalues, system module outputs, and/or the like. Expressions specifiedwithin a given product may specify rating calculations which establishparameters that may be utilized to calculate and/or generate a quote.Aspects of pxQuote functionality for generating products is detailed inthe discussion of the pxBuilder module below.

The system controller 119 may also be communicatively coupled with acxRisk module 130 to exchange a variety of data such as riskcharacteristic data and/or assessments, financial metrics, riskportfolios, candidate risks, risk assessment criteria and/or procedures,and/or the like. The cxRisk module is configurable to perform a numberof tasks, including communicating with vendor models (in one embodiment,this communication is performed through an intermediary interfacemodule, cxCat), receiving and/or processing candidate riskcharacteristics and/or risk portfolio data, receiving and/or processingELTs, determining financial metrics associated with a candidate risk,and/or the like. Further aspects of cxRisk are described in detailbelow.

In one embodiment, pxQuote 120 may access and/or utilize cxRisk 130 as arisk assessment engine for determining a set of financial metricsassociated with a candidate risk. Examples of such financial metrics mayinclude return on capital, return on equity, break-even premium, profitmargin, and/or the like. pxQuote 120 may supply risk characteristic data(e.g., location of a property, construction characteristics, and/or thelike for property casualty insurance) received via the user interface122 to cxRisk 130, which may subsequently process that data, includingpossibly in conjunction with one or more third-party vendor models, todetermine a set of financial metrics associated with the risk. An XMLschema describing one embodiment of a data-structure that may be passedbetween pxQuote and cxRisk is provided in Appendix 1.

In an alternative embodiment, cxRisk functionality may be directlyaccessed and/or manipulated via a dedicated cxRisk console 148,configurable to accept inputs describing a given candidate risk and todisplay risk assessments, associated financial metrics, and/or the like.An example of a user interface for cxRisk in one embodiment of systemoperation is provided in Appendix 2.

The cxRisk module 130 may further be coupled to one or more vendormodels 165, configured to receive risk characteristic data and provideestimates of likelihoods for various outcomes and/or contingencies thatmay affect one or more risks and/or insurance policies. For example, avendor model may receive information related to the location andstructural makeup of a building and determine the likelihood ofstructural collapse, flooding, earthquake damage, and/or the like.Vendor model output may, in one implementation, comprise one or moreELTs. Examples of possible vendor models operable in conjunction withthe system include models provided by Risk Management Solutions (RMS),Applied Insurance Research (AIR), and/or the like. An exemplary XMLdocument describing one embodiment of a data-structure that may begenerated within cxRisk as a consequence of interaction with a vendormodel is exhibited in Appendix 3.

The cxRisk module 130 may couple to the one or more vendor modules 165through an intermediary interface, cxCat 135, which may serve to extractand/or package relevant information from cxRisk data-structures,communicate with the vendor models to send inputs and receive ELT data,prepare vendor model outputs for interpretation by the cxRisk module,and/or the like. In one implementation, cxCat 135 may operate inconjunction with a parameter wrapper 140, which may serve to translatesystem codes pertaining to risk characteristic data and/or the like intocodes and/or other data formats recognizable by vendor models. In analternative embodiment, cxCat may perform such data format conversionsitself.

In another implementation, the cxRisk module may couple to a cxCheetahdatabase 150 in addition to or in lieu of the one or more vendor models165. cxCheetah may contain ELTs, events and associated likelihoods,probable loss estimates, and/or the like. The elements of the cxCheetahdatabase 150 may be generated, for example, by submitting inputs relatedto a plurality of events, catastrophes, contingencies, and/or the liketo the one or more vendor models and receiving and storing the ELTsassociated therewith. In an alternative implementation, the cxCheetahdatabase may be updated every time a new query is submitted to thevendor models and an ELT received in response. The cxCheetah database150 may be coupled to the cxRisk module 130 through the cxCat 135interface. In an alternative embodiment, the cxCheetah database 150 maybe contained within the system 117.

The cxRisk module 130 may further be coupled to a Lookup Tables database145 containing one or more tables of values relevant to risk rating, thedetermination of financial metrics associated with candidate risks, theevaluation of logical and/or business rules, and/or the like. Any of awide variety of different types of data and/or tables of data that maybe relevant to rating risks may be contained in the Lookup Tablesdatabase 145.

The system controller 119 may also be communicatively coupled with acxLogic module 155 to exchange a variety of data such as logical and/orbusiness rules and/or rulesets, rule evaluations, and/or the like. ThecxLogic module 155 is configurable to receive and process rules and/orrulesets, such as may be input via the user interface 122 coupled to thepxQuote module 120, and to evaluate those rules based on additionalinputs and/or stored data. Further aspects of cxLogic are discussedbelow.

The cxLogic module 155 may be coupled to the Lookup Tables database 145to query data that may be relevant to the evaluation of a cxLogic rule.For example, a given rule may specify that risks within a particular zipcode are not insurable. If the cxLogic module 155 receives riskcharacteristic data including a risk location, it may seek out a zipcode table in the Lookup Tables database 145 to convert the location toa zip code in order to evaluate that rule.

The cxLogic module 155 may further be coupled to a rulesets database160, containing input validation and logic and/or business rules and/orrule evaluations that may be processed by cxLogic.

In one embodiment, pxQuote 120 and/or cxRisk 130 may employ and/oraccess cxLogic 155 as a rules evaluation engine. cxLogic may containwith one or more rules, rulesets, data inputs, risk characteristics,and/or the like in order to have rules associated with a risk, businessdecision, and/or the like be evaluated thereby. In turn, cxLogic maysupply a rule evaluation outcome (e.g., TRUE or FALSE) to the queryingmodule, which may use that outcome in its own subsequent operation.

Within various embodiments and/or implementations, any or all of theaforementioned system components, modules, and databases may bereconfigured as components of the system controller 119 itself. Furtheraspects and embodiments of system, system controller, and systemcomponent operation are described below.

System Logic Flow

FIG. 2 shows an implementation of logic flow in one embodiment of systemoperation. The system receives at 201 a set of inputs related to thecharacteristics of a candidate risk, such as via the user interface 122established via the pxQuote module 120 in conjunction with one or moreproduct data-structures in the products database 125. For example, inthe context of an application of the system to property casualtyinsurance, input data characterizing a candidate risk may compriseproperty location, structural data, presence of an emergency sprinklersystem, and/or the like. At 205, the system receives a selection of oneor more vendor models (e.g., RMS or AIR models) as well as aspecification of testable perils relevant to the candidate risk and/orvendor models. In the property casualty insurance application describedabove, a relevant testable peril may be a flood, an earthquake, and/orany other catastrophic or property damaging event that may be consideredin rating the candidate risk. The risk characteristics are passed to thevendor models 210 by the cxRisk module 130 via cxCat 135 for evaluationand determination of associated ELTs with respect to the specifiedtestable perils. In an alternative embodiment, the risk characteristicdata and/or selected testable perils may be used to query the cxCheetahdatabase 150 in order to extract ELT data.

The resulting ELTs for the candidate risk are returned at 215, and adetermination is made at 220 as to whether the assessment of financialmetrics associated with the risk is to be made as a marginal/allocatedor standalone assessment. A marginal/allocated risk rating or assessmentis understood herein to comprise a rating of a candidate risk in thecontext of an existing risk portfolio, while a standalone risk ratingcomprises a rating of a candidate risk in isolation. If a standalonerisk assessment is selected and/or specified, the cxRisk module 130selects and/or receives a selection of a financial structure,reinsurance structure, capital structure, and/or the like 223 anddetermines values for a set of financial metrics for the candidate riskat 225. If, on the other hand, a marginal/allocated scoring is selectedand/or specified, then a portfolio and a financial structure,reinsurance structure, capital structure, and/or the like are selectedat 230. Financial metrics associated with the portfolio in isolation(i.e., without the addition of the candidate risk) are determined at235, and financial metrics for the portfolio with the addition of thecandidate risk are determined at 240. These two sets of financialmetrics are compared at 245 to calculate a set of marginal and/orallocated financial metrics associated with the addition of thecandidate risk to the given portfolio. The system determines if thereare additional portfolios for which marginal and/or allocated financialmetrics should be determined at 250.

At 255, the cxLogic module 155 and/or rulesets database 160 may bequeried based on determined risk assessment financial metrics todetermine whether those metrics are commensurate with the relevantrules. For example, a particular rule may return a TRUE value only ifthe return on capital for a given candidate risk exceeds a pre-specifiedminimum threshold. The financial metrics associated with the candidaterisk yield a rule evaluation profile that may be passed back fromcxLogic to cxRisk or pxQuote for interpretation, and a candidate riskwith an incommensurate rule evaluation profile may be interpreted by oneor both of these modules as an unacceptable risk 260 (i.e., a risk thatan insurance carrier should not bind).

Determination and/or calculation of financial metrics within either astandalone, marginal, or allocated context may proceed according to avariety of known methods. An example of how such calculations may beperformed is provided below.

FIG. 3 shows an implementation of further logic flow for one embodimentof system operation. The logic flow in FIG. 3 may receive as input thedata collected, created, and/or processed in FIG. 2. At 301, the system(e.g., by means of the cxLogic module 155) determines whether specifiedcharacteristics of the candidate risk are compliant with rules enforcedby cxLogic 155 and/or contained in the rulesets database 160. Forexample, a particular rule in the context of a property casualtyinsurance application of the system may specify that no risks associatedwith properties in San Francisco having more than 25 stories are to bebound. In evaluating this rule at 301, the system would check the riskcharacteristic data (e.g., the number of stories and the location forthe property) to determine whether or not the risk is compliant. If acandidate risk is deemed noncompliant with an essential rule, then therisk is deemed unacceptable 303. For compliant candidate risks, thesystem proceeds to 305, wherein a determination is made as to whether anadmitted (i.e., pre-determined) or non-admitted (i.e., free) rate isapplicable to the candidate risk.

In the former case, the system queries a pre-determined rate based oncandidate risk characteristics 310. For example, rates for a particularclass of candidate risks may be dictated by statute, and determinationof the appropriate rate for a given risk may comprise comparing thecharacteristics of that risk with a rate table such as may be stored inthe Lookup Tables database 145. Once the appropriate pre-determined rateis discerned, the system may query a set of cxLogic business rules todetermine whether or not to bind the candidate risk given that rate 315.

In the latter case, the system queries the risk financial metricsdetermined by cxRisk 320. Based on these financial metrics, the systemmay compute an appropriate rate or premium for the candidate risk. Inone implementation, the computation of an appropriate rate for thecandidate risk may also consider other risk characteristics and/or theevaluation of cxLogic rules. The computation of an appropriate rate forthe candidate risk may be performed in a variety of different wayswithin different implementations of the system. In one implementation,risk pricing may proceed according to the following formula:

$P = \frac{{r*{\min\left( {{P\; M\; L},L} \right)}} + {\frac{r}{2}*\left( {L - {\min\left( {{P\; M\; L},L} \right)}} \right)} + {A\; A\;{L(L)}} + O}{1 - {E\; R}}$

Where P is a risk and/or policy premium, r is a rate-on-line based ongeographical territory, L is a policy limit requested in excess of thedeductible, PML is a probable maximal loss at a given return period inexcess of the deductible, AAL(L) is an average annual loss below thepolicy limit (L) in excess of the deductible, ER is an expense ratio,and O represents any other expenses.

The rate determined at either 310 or 325 is provided as part of a quotefor the candidate risk at 330. In one implementation, the quote is onlyprovided if the risk is bound. A determination is made at 335 as towhether or not the risk can be automatically bound based on thefinancial metrics, risk characteristics, cxLogic rules, and/or the like.If so, then the system stands by to bind the risk at 340. In oneimplementation, the system may provide a message to a system user thatthe risk is bindable. In another implementation, the system mayautomatically bind the risk and issue the appropriate proof of insuranceand/or other documents (e.g., from the documents table 123) to acustomer. If, on the other hand, the system cannot automatically bindthe risk, then a determination is made at 345 as to whether an exceptionrequest has been made and/or received. If so, then the candidate riskmay be set aside and/or provided for underwriter review 350. Otherwise,the risk is deemed unacceptable 303.

Risk Analyzer Subsystem [cxRisk]

As used herein, references to “cxRisk” mean the described, inventiveprocesses for evaluating financial metrics associated with risks and/orinsurance policies. Among the financial metrics that may be consideredand/or determined by cxRisk are return on capital, profit margin, returnon equity, break-even premium, probable maximal loss, average annualloss, reinsurance premium, adequate premium, capital required,profitability, rate adequacy, and/or the like.

cxRisk allows for the calculation of financial metrics for one or morerisks based risk characteristic data gathered from user inputs andprobabilistic distributions of loss-generating events and/or outcomes.Based on these financial metrics, cxRisk can score candidate risks in anumber of different ways within various embodiments of system operation.Among the ways that candidate risks may be scored by cxRisk aremarginal, allocated, and standalone scoring. In marginal scoring, acandidate risk is rated by evaluating the impact of adding that risk toa specific portfolio. The rating may, for example, be determined inlight of the change in predicted loss, marginal values in financialmetrics such as profit, and/or the like. Allocated scoring is similar tomarginal scoring, in that the candidate risk is considered within thecontext of an existing portfolio, however allocated scoring does notgive the candidate risk the entire benefit of diversification thatmarginal scoring provides. Instead, allocated scoring allocates aportion of the losses, reinsurance costs, capital, and/or the likeassociated with the candidate risk. These amounts are generallydistributed by the candidate risk's contribution to the losses of theportfolio. Finally, standalone scoring considers the financial metricsassociated with the candidate risk in isolation (i.e., not in thecontext of an existing portfolio). Further details surrounding riskrating and/or scoring are provided below.

cxRisk provides an engine through which external systems can performrisk rating and/or calculate financial metrics for candidate risks. Inone embodiment, cxRisk may perform these functions in real-time.

In accordance with embodiments of cxRisk, there are provided hereinmethods and systems for evaluating and/or determining financial metricsassociated with candidate risks and/or insurance policies. As discussedabove, cxRisk may operate in conjunction and/or cooperation with one ormore other system components, modules, and/or databases. These includethe cxLogic and pxQuote modules, aspects of which are discussed ingreater detail below. The pxQuote module may interface with an insurancecarrier, customer, the customer's designate, such as an agent. ThecxLogic module may evaluate logical and/or business rules associatedwith the candidate risk, the collection and evaluation of data pertinentthereto, and/or the associated insurance carrier. The cxRisk componentmay use the information associated with the customer and/or carrier, thelogical and/or rules, and certain database information and catastropheapplications and/or vendor models, as described below, whereby tocalculate financial metrics associated with risks and/or insurancepolicies. The cxRisk component may also be configured to perform riskassessments, ratings, and/or calculations based on requests madedirectly from pxQuote. pxQuote can pass inputs directly to cxRisk formathematical evaluations. These evaluations are then used in the quotingprocess of pxQuote. This process is detailed further below.

FIG. 4 denotes an implementation of system flow for cxRisk 402, in oneembodiment of system operation, as it communicates with vendor modelsand/or cxCheetah 403 to determine financial metrics associated with acandidate risk, which can then be evaluated by cxLogic 401 andinterpreted by pxQuote 400. cxCat comprises a component that can becalled by cxRisk to communicate with the vendor models to run thecatastrophe models for the candidate risk. After the models finishcalculating the losses, cxRisk is able to retrieve the ELT for thecandidate risk and may, in one implementation, store the results in itsown database.

For purposes of illustration, the present invention may be describedherein with respect to the processing of a property casualty insurancepolicy. It will be understood that the invention is more broadlyapplicable to a wide variety of risks, risk assessments, insurance andreinsurance policies, and/or the like.

With reference now to FIG. 4, cxRisk 402, uses user inputs to determineloss data using the vendor models. That loss data is taken to the cxRiskdatabase for scoring against an insurance portfolio. To score a policyagainst a portfolio means to compare the combined portfolio (newpolicy+initial portfolio) with the initial portfolio. The impact onprobable maximum loss (PML), average annual loss (AAL), and/or the like,is considered to calculate the change of reinsurance cost, net loss,profit, and/or the like. One embodiment of the cxRisk.getAnalysisprocess is further detailed in FIG. 5.

The cxRisk.getAnalysis process, one embodiment of which is shown in FIG.5, may be undertaken by cxRisk to get the appropriate loss data viacxCat from cxCheetah and/or the affiliated vendor models. cxRisk 501sends data to cxCat, 500, which in turn passes the data through thevendor model wrapper, 503, to the vendor model application, 504. This isin contrast to the embodiment shown in FIG. 1B, wherein the data fromcxRisk is first passed through the wrapper before being passed to cxCatand the vendor model(s). The vendor models are capable of taking in userinputs and calculating and/or storing appropriate loss data in a vendormodel database, 505. The loss data is then transferred to cxRisk, whichmay process the data for further use. In an alternative embodiment,cxRisk 501 may store it as loss data in the cxCheetah database, 506.

Financial metrics and/or candidate risk ratings determined by cxRisk canbe used by both cxLogic and pxQuote. Within cxLogic, a rule can becreated that requires a call to cxRisk to retrieve the appropriateinformation necessary to evaluate the rule. cxRisk will call out tocxCat to retrieve the information required for rule evaluation from theappropriate vendor model(s), which will then be passed back to cxLogic.cxLogic can then evaluate the rule (e.g., as a Boolean truth condition).pxQuote can then take its actions, either to block a policy or let itcontinue, based on cxLogic's evaluation. pxQuote can also communicatedirectly with cxRisk for necessary calculation and/or expressionevaluations. This process is further described below.

The rate determination process, an embodiment of which is detailed inFIG. 6, shows pxQuote, 601, sending information directly to cxRisk 602for expression evaluations. pxQuote can gather user inputs, but in orderto perform certain calculations, it may depend on cxRisk in certainembodiments. The necessary inputs are passed from pxQuote to cxRisk,which then performs the appropriate calculations of candidate riskfinancial metrics based on the user inputs. These calculations are thenpassed back to pxQuote, which can use them to determine an appropriaterate. cxRisk may thus be configured to operate as a mathematical engineto drive the rating process by accessing probabilistic loss data anddetermining resulting financial metrics, which in turn may be usedwithin pxQuote to generate a quote. pxQuote 601 may further communicatewith cxLogic 603 to supply rulesets and receive rule evaluations relatedto characteristics and/or financial metrics associated with a candidaterisk or policy.

The detailed calculations performed by the cxRisk function illustratedat 402, 501 and 602 in FIGS. 4, 5 and 6, respectively, are shown anddescribed below.

While the invention has been shown and described with respect to thedetermination of financial metrics associated with issuing a propertycasualty insurance policy, it is not thus limited. It will be apparentto the reader that the invention is equally applicable to evaluating thefinancial metrics associated with the issuance of insurance policies fordifferent types of products and services in different types ofenvironments.

There have thus been provided new and improved methods and systems forquickly, easily and accurately generating insurance quotes based upon adetermination of financial metrics of an insurance product, rateadequacy, and other mathematical metrics. In response to a request for apolicy, the probability of loss associated with that new insurancepolicy is determined in real-time through the use of vendor models. Thesubsequently determined profit estimates may then be used to make adecision as to whether or not to issue the policy as well as how toprice the policy.

Rule Evaluating Subsystem [cxLogic]

Logical functions and operations, for example in the form of Booleanlogic operations, are used pervasively throughout many differentbusiness processes. In different embodiments, rules may be establishedand used for the analysis and resolution of a one-time issue, or theymay be established and used for a period of time to facilitate anon-going situation.

For example, and without limitation, in the processing of insuranceinformation it is often necessary to test new data against establishedrules, whereby to facilitate the making of a decision. Such rules may beestablished and used, for example, in the determination as to whether ornot particular insurance policies are to be issued to applicants.

In many instances, it is necessary for rules-based analysis to retrieveand utilize supporting data and information, for example from thirdparty information sources. Depending on the particular application of arules-based analysis, it may be necessary to periodically change eitheror both of the ruleset and the considered data.

Using known rules authoring and analysis tools, their exist todaysignificant challenges associated with both establishing and changinglogical rules used in different business environments. In manyinstances, such rules are prepared in complicated, specialized computerprogramming languages. They require the support of an expert to bothestablish and change. Further, the retrieval and usage of data by theruleset is often complicated and challenging. Such linking, or retrievalof data into the rules-based analysis, typically requires significantmanual intervention, often by a specialized expert.

cxLogic addresses the challenges associated with known rules offeringand analysis tool sets. It further has the advantage of providingimproved, user-friendly tools with which business persons can author,analyze, change, and import data into rules, and is capable ofevaluating rules that are easily integrated by leveraging existingprotocols and data communication standards and interfacing with othersystems in a loosely-coupled fashion and without a priori knowledge ofother systems' data requirements.

As used herein, the term “cxLogic” describes methods and systems forfacilitating, in various embodiments, the drafting and analysis ofrules, the integration of data and rules and the broadcasting of userinterfaces for evaluating incoming information against logical rules, asdescribed below.

cxLogic allows for having constant rules that are otherwise too oftendifficult for business users to create, edit, and implement inreal-time. cxLogic allows a business user to author rules that can beevaluated in real-time, allowing for analytical power without a greatdeal of technological proficiency. Via a graphical user interface,cxLogic allows for creation of rule fields (field names that are usedfor rule evaluation), rulesets (collections of rules), and rules, aswell as integration with external systems. As a rules evaluation engine,cxLogic rules may only require minimal knowledge to provide ruleresults. Each rule evaluation may be performed in isolation and in astateless mode. In addition, cxLogic may evaluate a ruleset with just aset of data, without the additional component of a strict set ofpre-defined fields. Should the fields sent to cxLogic be inadequate forrule evaluation, the server simply returns “Error” rather than theexpected “True” or “False.” By having no limitations to rule authoring,cxLogic solves the problem of needing technically savvy individuals toconstantly edit software to reflect changes. cxLogic also has the powerto call external applications or internet knowledge bases in order togather information to make evaluations.

cxLogic is a rules evaluation engine that provides great control overthe rule creation and evaluation process. It's function is notrestricted to particular rules or rule types, and may evaluate anythingwhich can be evaluated using logical rules. cxLogic allows users tocreate, edit, and test rules within rulesets via a graphical userinterface, without having vast technical knowledge. cxLogic allows forexternal service integration, which enables cxLogic to communicate withother information providers, via standard HTTP protocol, to accessexternal information in order to evaluate user created rules. In oneembodiment, it has and requires no prior knowledge of rule fields norany knowledge of external systems or how they work, and itsdeterminations are based on user rules and inputs.

As an overview, a user of the cxLogic rules evaluation engine,implemented in the described embodiment as a software product,manipulates a user interface to the computing system supporting thesoftware. Rulesets may be created by choosing the create ruleset link,and specifying a name for the ruleset. A unique ruleset identificationnumber is generated by cxLogic, and the ruleset is then stored in an XMLdatabase. Within rulesets, users can author and edit rules withoutaffecting the integration with external systems.

cxLogic is an HTTP-based rules evaluation server that does not requireany prior knowledge of the fields submitted in order to evaluate userrules. It is powerful enough to evaluate virtually anything. If rulesrequire certain fields that are not submitted, cxLogic will evaluate arule to “Error” instead of “Yes” or “No.” The process of evaluation isnow taken outside the realm of software development and given to theuser. The user has the power to affect behavior through real-time ruleauthoring and evaluation.

Further as discussed below, cxLogic has the power to go elsewhere toretrieve data for rule evaluation. By calling external services, cxLogiccan access information held in outside databases in order to accuratelyevaluate a rule. For example, by means of HTTP protocols, cxLogic cancommunicate with outside systems without physically being in the samelocation as the requesting system. Fields that are sent through cxLogicare evaluated without specifying a particular type of data for eachfield. The system understands differences in evaluations based on fieldcontext. It may, for example, discern the difference in behavior betweena date field and a numeric field.

As described above, a user establishes a ruleset and rules. As part ofestablishing the rules, the user identifies any sources from which thedata to be evaluated by the rules is collected. These may comprise, forexample, third party web sites. The process by which a user identifiesuseful data within usable data fields on a Web site, and communicatesthat data field into a rule, comprises the consume process. The consumeprocess allows users to strip form field names from any website and usethem as rule fields within cxLogic, shown in 1210. The system is capableof retrieving the names of fields from external services and use thosefield names internally. These consumed fields can then be used to buildrules and execute subsequent evaluations. Users can also edit the fieldsthat have been consumed within cxLogic, in order to incorporate themwith the rule building process. The consume process allows cxLogic tocommunicate information with any external service. However, users arenot limited to form fields specific to external websites. Users maycreate their own form fields, as well as create groups of form fields,known as field sets, which allow users to group fields based on theintegrating system.

FIG. 7 shows an implementation of cxLogic process flow in one embodimentof system operation. The cxLogic process flow begins with the consumeprocess 700, one implementation of which is diagramed in FIG. 8. Theuser enters input into a form and adds action to the form to be consumed800. The user then submits the form 801, which is sent over theinternet, such as via HTTP/POST, into cxLogic. cxLogic then determinesif the form is valid, 802. If it is not valid, there is a resultingerror, 803, which is then reported to the user, 804. If the form isvalid, form fields are displayed for user confirmation, 805. If thechanges are confirmed by cxLogic, 806, the set is stored, 807, and theresults are returned, 808. If the changes are not confirmed, 806, thereis a resulting error, 803, which is then reported to the user, 804. FIG.13 shows a block diagram illustrating the consume process components,the consume process including a calling application 1300. A callingapplication can either be an external web service that would like to usecxLogic's rule evaluations, or another software application thatrequires cxLogic's rule evaluation engine to complete its own processes.

After cxLogic runs the consumption process, the remote data sources havebeen processed and data fields, which may be used in rules, areidentified and available for the user to integrate into a rule. Theprocess continues with the overall processes, shown in FIG. 7. Users canthen manage rulesets, 701. This allows them to add, edit, or deleterules, rule fields, and rulesets. cxLogic determines if there is anexternal application request, 702, and then passes the rulesets throughthe evaluation process 703, illustrated in FIG. 7, and further detailedin FIG. 9.

The evaluation process begins when fields are submitted, 900, over theinternet via secure HTTP/POST, and collected by cxLogic, 901. Asdescribed above, fields that are submitted can come from an external webservice, or be fields created within cxLogic. Fields submitted arecollected by cxLogic, and then cxLogic determines if the requestedrulesets have been found, 902. Rulesets are retrieved by cxLogic from anXML database, shown in FIG. 11. If no matching rulesets are present,there is a resulting error, 903, which is then reported to the user,904. If the ruleset is found, it is evaluated, 905. This evaluationprocess is shown in further detail in FIG. 10.

Briefly with respect to FIG. 11, someone wishing to utilize the benefitsof cxLogic 1110 calls up a ruleset 1111 from a calling application 1100,for example an Internet browser session. If the called ruleset exists,it is retrieved from a database and operated whereby to evaluate storedrules, 1112.

The detailed evaluation process, FIG. 10, begins with cxLogic retrievingthe rules from the ruleset, 1000. cxLogic then analyzes the rule, 1001,and determines if the function call requires an external service inorder to gather information to make an evaluation, 1002. If it does notrequire an external service call, cxLogic determines if the ruleevaluation has been completed, 1003. If the rule is not completed,cxLogic redirects the rule back to 1001, which continues to evaluate therule.

If the rule evaluation has been completed, cxLogic evaluates the rule,1004, stores the result into an XML database, 1005, and determines ifthere are more rules to evaluate, 1006. If there are more rules toevaluate, cxLogic redirects to 1000, which retrieves more rules from theruleset. If an external service call is required to evaluate the rule,cxLogic then determines if more parameters are required, 1007. Ifadditional parameters are required, it allows the user to input thoseparameters, 1008, then passes the data securely over the internet to theexternal call service, 1009. The external service then passes requesteddata back to the rule evaluation 1001. If no additional parameters arerequired, the current data is passed to the external service, 1009,securely over the internet. The external service then passes requesteddata back to the rule evaluation 1001. FIG. 12 shows this more detailedevaluation process in block diagram form, showing the same callingapplication and cxLogic components as in FIG. 11 with the addition ofthe external service 1213 and other described process steps.

With reference back to FIG. 9, once the evaluation process is completefor that ruleset, cxLogic evaluates each rule to yes, no, error, ordisabled, FIG. 9 label B. The results are then stored, 906, and cxLogicdetermines if there are additional rulesets are present, 907. If morerulesets need to be evaluated, cxLogic redirects back to the evaluationprocess, 905. If there are no more rulesets to evaluate, cxLogicdetermines if there is an error in the result, 908. If there is an errorin the result, the error is reported, 910, the error is logged, 909, andthe result is returned. If no error is present, the results are logged,909, and the results are returned, 911.

The reader will appreciate that there are several compelling featuresand advantages that distinguish cxLogic from other rule evaluationsystems. cxLogic is an HTTP-based rules evaluation server that does notrequire any prior knowledge of the fields submitted in order to evaluateuser rules. It is powerful enough to evaluate virtually anything. Ifrules require certain fields that are not submitted, cxLogic willevaluate a rule to “Error” instead of “Yes” or “No.” The process ofevaluation is now taken outside the realm of software development andgiven to the user. The user has the power to affect behavior throughreal-time rule authoring and evaluation.

Once a rule is evaluated, the evaluation data (XML) is logged into anXML database. The logging feature logs all external call evaluations, aswell as any test evaluations done within cxLogic. Logs are orderedchronologically, and can be filtered and searched.

There have thus been provided new and improved methods and systems forauthoring and evaluating logical rules, the invention providing simplegraphical user interfaces usable by non-technical personnel. Theinvention thus simplifies the process by which users can establishrules, collect and process data, manage the rules and manage therulesets. The invention further provides for the analysis of web sites,whereby to identify and characterize data fields for use within rules.The end result, again, is a simplified graphical user interface systemthrough which users can utilize remote data with in rules. Thisinvention is applicable to many fields of business, and particularly asto the development of rules in support of business processes.

Quote Generating Subsystem [pxQuote]

The collection of insurance policy application information and thedevelopment of policy price quotes based upon that information is oftenperformed using automated, computerized programs with significant humaninteraction and oversight. The programs used to facilitate theseactivities are generally specialized, “hard coded” software programs,which may be amended and altered only with specialized programming bycomputer software experts. While the computerized programs facilitatethe activities of the human operators, for example underwriters, theyare expensive and complicated to write and also to alter.

One problem addressed by pxQuote is the need to alter software everytime there is a change in insurance policy data analysis and/or pricing.Current systems allow for insurance policy quote request data ratingagainst a workbook, with the resultant generation of policy terms andprices. Changes, however, to the underlying workbooks, against which newpolicy data is processed to generate policy terms and price quotes,require technologists to edit software in order to see the affects ofthe changes. Typical business users can not easily or inexpensivelymodify the complex code behind the insurance software.

pxQuote also eliminates the need to redesign the user interface of aninsurance quoting application every time there is a need for changes inform fields, or a redesign of the user interface for a change in theactual application fields. Such changes are undertaken, for example,when changes to the underlying policy and/or policy application requirethe collection of different information. Limitations of existing systemsinclude the need for technical developers to edit the code for the userinterface in order to reflect form field changes and the requirement ofinput values for all required fields before results can be processed.

pxQuote provides methods and systems for facilitating the collection andprocessing of information to generate quotes and applications forinsurance policies.

As used herein, references to “pxQuote” refer to the methods and systemsof the present invention, as described, for facilitating the collectionand processing of information to generate insurance quotes, and moreparticularly to such methods and systems which facilitate the flexiblechange of both the user interfaces and the data collected forprocessing.

In one embodiment of the invention, pxQuote enables business users toalter a simple XML file and quote directly against their insuranceproduct workbook. pxQuote defines an insurance product, including aworkbook, as an XML document, which allows real-time changes toinsurance workbooks that can be instantly used to create a new quote. Byabstracting this process to an XML document, business users can quicklyand easily make changes in insurance policy processing that caninstantly be used within pxQuote. pxQuote's system allows formodification of the XML based product, and dynamically interprets theworkbook to generate calculations, user interfaces, documents, payments,and businesses rules needed to facilitate the process to create abinding insurance contract for a given set of risks. This product is nothard coded into the system.

In another embodiment of the invention, pxQuote interacts with anunderlying XML document which contains the form field information.pxQuote reads this XML document and dynamically creates the userinterface based on the information held in the XML document. Thisability to simply edit the XML document eliminates the need forcomplicated and expensive hard coding form field information within theuser interface. pxQuote, allows the business user to edit userinterface-defining data within an XML document, and the changes areinstantly reflected on the user interface.

In this second embodiment, pxQuote thus has the ability to base theinterface on an underlying XML document. All interface specifications,such as field names and type, are held in the XML and are visuallyrepresented in the interface. This seamless interaction allows abusiness user to hide the data that affects quotes from an agent. In oneimplementation, pxQuote is a web application rather than a webpage. Thisallows for dynamic user interaction to determine results in real time.It does not require the user to input all fields, but will determine aresult based on fields that it has been given. It also notifies users,in real time, of fields that are required, missing, or that containerrors. Users can also save input information within the system andaccess it at another time.

In accordance aspects of pxQuote, there are provided herein methods andsystems for enabling a user to simply and easily edit an XML document inorder to change 1) both the underlying requirements, calculations,tables and business rules associated with processing applicant data togenerate insurance policy terms and quotes, and 2) in order to enable auser to altered the appearance of a use interface for collectinginsurance application/quote information.

As used herein, references to “product” and “products” refer to XML datadocuments which fully describe an insurance policy rater, includingspecification of user inputs, expressions (e.g., rating calculationswhich establish parameters and/or values used to render a quote), tables(e.g., data sets from which values may be looked up), rules and/orrulesets (e.g., business rules), payment tracking mechanisms and/orrecords, policy documents, and/or the like. A product is processed bythe pxQuote module and turned into a functioning rater application. Aproduct contains all of the information required to create a ratinginstance, both the interface and pricing logic. This abstractrepresentation of the rating application is available for editing bybusiness users of the pxQuote application. As described herein, theproduct may include numerous functions and/or sub-functions, such as a)collecting policy request information, b) quoting requested policies,and c) generating online policy application(s). The quoting function maybe performed by an XML workbook function within the XML productdocument.

As used herein, “schema” is used to mean the structural definition of anXML document. Schema are typically expressed in terms of constraints onthe structure and content of XML documents, above and beyond the basicsyntax constraints imposed by XML itself. An XML schema, including thoseschema described herein, provide an abstracted, high-level view of thecompleted XML document. XML Schemas express shared vocabularies andallow machines to carry out rules made by people. They provide a meansfor defining the structure, content and semantics of XML documents inmore detail.

Overview of Operation

In accordance with aspects of pxQuote, the user of the system may buildan insurance policy product, in accordance with the guidelines set outin the discussion of the pxBuilder module below. This build isaccomplished by editing the appropriate XML document. As describedabove, the product includes numerous functions and sub-functions,including a) XML structure (i.e., validated by schema) for generating anappropriate graphical user interface where by a user of the inventioncan collect and enter applicant insurance policy request data forobtaining an insurance policy quote, b) XML structure for a workbook forprocessing the quote request data to generate the policy quote, and c)XML structure for an insurance policy application whereby a partysatisfied with a quote and desiring to apply for the quoted policy caninitiate the generation of the insurance policy application. Details asto how the application/quote request data is collected, appropriatelyprocessed, and the policy quote terms and conditions and pricinginformation returned to the user, are described below. Further describedbelow are the details as to how a policy application form is generated.Xforms, a World Wide Web Consortium standard, provides a description offields and/or inputs, which is then interpreted by the system togenerate the user interface; xforms also includes a model, whichdescribes how to parse data passing from client software to the server

The dynamic user interface of pxQuote renders field inputs, labels andother interface elements based on the underlying XML product. Thisallows for a great deal of flexibility because products and the userinterface are rendered in real-time. Changes to the XML description ofthe user interface can instantly be seen on the user interface, thuseliminating the need for time intensive development for minor changes.Similarly, changes to the product are reflected in the insurance policyprocessing, the insurance policy quote and the subsequent insurancepolicy application virtually instantaneously.

pxQuote instantly informs users of the current progress of their sessionin accordance with the workbook. It visually shows users whatinformation they must provide in order to complete the process ofquoting or submitting an insurance quote request. As the user interactswith the system and provides information, the system respondsaccordingly. In one embodiment, the system constantly informs users oftheir progress. In operation, by providing instant feedback, pxQuoteallows users to see how changes in field values affect outcome (e.g.,quote values).

Workbook Document Editing and pxQuote Policy Generation

The creation of each product work book is accomplished through the useof pxBuilder module to edit the appropriate XML document, in order toestablish the appropriate data collection, calculations and rules forgenerating policy quote terms, conditions and prices.

User Interface Document Editing and pxQuote User Interface Generation

The creation of the graphical user interface through which applicantinformation is collected for each product is accomplished by editing therelevant portion of the workbook XML document. This process creates agraphical user interface through which the applicant data is collectedand transmitted for processing, the creation of which is describedherein above, for appropriate processing. The same is true for thecreation of the graphical user interface for creating a policyapplication. In operation, the policy application is generated using thealready received applicant quote data, but can also include thecollection and inclusion of additional pertinent data such as paymentmethodology and related insurance coverage information.

System Overview

pxQuote's user interface 1403 in FIG. 14, accesses the pxQuote module(1402), via the internet, to retrieve information needed to createvisually what is stated in the selected product 1401. That is, theinformation is collected from the graphical user interface describedabove. If information also needs to be obtained from an outside source,pxQuote will access the source 1404 and coordinate the appropriateinformation between the server 1402 and interface, 1403.

As the user enters data within the interface, an XML packet is beingcreated which holds the data. When all required fields have beenentered, the packet is posted to a URL, for example:http://pxquote/test/service/quotes/. Each quote is given a unique ID,for example, PXQTEST01-19.

pxQuote's request and response workflow can be seen in FIG. 14, in theinteraction between the pxQuote module 1402 and the pxQuote AgentInterface 1403. The definitions of the calculations are held in theproduct definitions 1401 and executed in the server 1402 based on userinputs given in the interface 1403. The data is stored within thepxQuote module, and can be accessed by its unique identification number.

pxQuote is intelligent enough to know to go outside its system in orderretrieve information for its own use. FIG. 15 shows pxQuote'sintegration with cxLogic, a rules-based processing system. Based on theinformation given by the user in the interface 1500 the server processesthe information 1501 and calls an external system 1502. The externalservice passes the information back to the server, which interprets theinformation, and the necessary visualizations are shown on the pxQuoteuser interface.

Schema Descriptions

There are a number of different data-structures utilized by the system,some of which are provided in the figures. FIG. 16 displays an insuranceproduct schema. FIGS. 17A-B display policy request schemata, whereby auser enters data to request a policy quote. FIGS. 18A-F display workbookschemata, whereby the processing of the policy quote data is performedto provide the actual policy quote. FIGS. 19A-D display insuranceapplication schemata, whereby the actual insurance application isgenerated by a party who submitted a quote request, received the quoteand desires to submit an application for the quoted policy. FIG. 20displays a post-calculation schema whereby expressions employed withinthe workbook are specified.

More particularly, with respect to FIG. 16 the product is seen toinclude nodes for collecting external inputs 1601, the describedworkbook schema 1605, the described application schema 1610, and thedescribed post-calculation schema 1615. Also included are headerschemata for metadata (FIGS. 21A-B) and post-processing calculationschema for post-processing as shown in the schema of FIG. 20.

More particularly with respect to FIGS. 17A-B, the policy request schemais seen to include various information as will be utilized by theworkbook schema of FIGS. 18A-F to provide the insurance policy quote.

A visual representation of the insurance workbook is shown in FIGS.18A-F. As described above, the workbook contains input form elements,tables, calculations, and rulesets. The input form elements describeevery form field that will be displayed on the front end interface ofpxQuote as the quote form (i.e. the schemata of FIGS. 17A-B). Thisdescription includes field names, types, and validation requirements.The tables data holds all rater data in order to process the inputs ofthe user. The calculations section executes the mathematical processesthat are described in the rater tables. These calculations use theinputs from the user. The rulesets section describes business rules thatare created by the business user.

A visual representation of the insurance application XML schema is shownin FIGS. 19A-D. The application contains input form elements,calculations, and rulesets. The input form fields fully describe thedisplay of the application form on the front end of the pxQuoteinterface. This description includes field names, types, and validationrequirements. The calculations section executes the mathematicalprocesses that use the input fields as data. The rulesets sectionprovides references to business rules, existing in cxLogic, that areselected by the business user.

As noted above, FIG. 20 includes post-calculation schema for additionalcalculations to ensure an appropriate policy. FIGS. 21A-B includesheader schema for information about the specific product, for example,the product name, author, and date last modified.

An example of a policy request is as follows. As shown in FIG. 22,system requirements are displayed to a user. As an example, in order touse the pxQuote application, four system requirements might be required.Windows must be used as the operating system, Mozilla Firefox version1.5 or greater must be used as the browser, and Acrobat Reader and AdobeFlash Player version 9 or greater must be downloaded. An error messagewill appear if any of these requirements are not met. Of course, theselimitations are exemplary in nature and not limiting of the invention.For example, the system may also be operable within a Linux or Macintoshplatform, or in conjunction with Internet Explorer or Safari webbrowsers.

A username and password is entered, and a main console will appear. SeeFIG. 23. From this screen the user may manage existing Quotes andApplications or start a new Quote. It should be noted that the basecriteria discussed below reflects one implementation. The base criteriamay be dynamically modified and a workbook author may input a desiredset of base criteria in order to uniquely identify the encoded productor products. It should further be noted that the system is anapplication program interface (API) service that may be spoken to from arich client or a variety of other software systems or suites (e.g.,Microsoft Excel).

The selected effective date of the policy is entered, as shown in FIG.24. Select the Effective Date. The Effective Date is the date that thepolicy will take effect. The user may change this date at anytime whilequoting. In one embodiment, the date must not be more than 45 days inthe future. The producer code is selected, as in FIG. 25, Select theProducer Code. The user may select a Producer Code from the dropdownmenu. If only one Producer Code exists, the one Producer Code will bedisplayed. A producer comprises a person or group of persons that arepermitted to quote, write and bind policies.

The user completes the quote form as shown in FIG. 26. The user mustcomplete all required fields in the quote form. The fields will provideinstant feedback. Error messages will automatically appear when fieldsare in error, as shown in FIG. 27. The user must complete fieldscorrectly according to error messages.

When all fields on the quote form are complete, the quote willautomatically be generated, for example as shown in FIG. 28. Once allrequired fields are complete, a revised quote will automatically begenerated each time a user changes any field (required or optional).

The user can initiate the generation of the application graphical userinterface form, as shown in FIG. 29. Once the user activates theApplication control, the Agency Portal shall shift to the left todisplay the Application interface. After the user has completed theapplication section, he may activate the Submission button to advance tothe Application Submission screen, as illustrated in FIG. 30. After theuser has entered the payee information and accepted the certificationstatement, he may activate the submit button to submit the applicationto the recipient, for example an insurance company and/or underwriter.

By providing inputs, processing and outputs based upon an editable XMLdocument, the invention provides for unprecedented flexibility as to thequoting of and application for insurance policies.

By rendering fields based on the XML workbook, visually shown in FIGS.18A-F, pxQuote gives a business user the power to define the userinterface without having to alter complex code. Also, a business usercan keep the interface separate from underlying ratings products, thusthe insurance agent is not exposed to sensitive information.

Also, features within the interface are not exposed to the user unlesscertain requirements are met. This ensures that there is a certainprogression to the quoting process that the user cannot bypass. Thisallows the business user to ensure that quotes that do not meet therequirements do not continue in the quoting process. By having a userinterface that is based on a unique product, the business user canensure that only quotes that fit the specified description are accepted.The business user is given full control of quotes and policies that areaccepted, and can make changes instantly to the specifications. In oneembodiment, constant feedback is provided to the user (i.e., no pages orsteps). In another embodiment, instant quoting (no “submit” step) isprovided and form entry errors or other mistakes are immediately fedback to the user. Real-time ability is provided to view variations on aquote without re-submitting entire form. Variations of a quote showusers alternate quotes based on changes that they can make to theirproperty, for example different types of roofing materials.

There have thus been provided new and improved methods and systems forprocessing insurance policy-related data based upon the use of aneditable XML document(s). More particularly, the present inventionprovides for an editable XML document to a) define input data forrequesting an insurance policy quote, b) processing the input data togenerate the quote, and c) actually generate an insurance policyapplication where so desired. The editable XML document format forproviding the various functions makes the process essentiallylimitlessly flexible and easily altered by lay-users. The invention hasapplication in the field of consumer data collection and processing andmore particularly in the field of insurance.

Generating a Workbook [pxBuilder]

This section describes one embodiment of a product builder module(pxBuilder). Products are XML data documents which fully describe arater, including the interface description, table lookups, pricinglogic, and business rules. A product is processed and/or interpreted bythe pxQuote module and turned into a functioning rater application.

A product contains all of the information required to create a ratinginstance, including both the interface and pricing logic. This abstractrepresentation of the rating application is available for editing bybusiness users of the pxQuote application.

The pxQuote “Product Builder's Guide” and/or the pxBuilder moduleenables business users to create a valid product XML using a visualtoolset, as opposed to hand-authoring an XML. It guides agents when theyare creating products, which contain the fields and the categories thatare required to process a quote.

A user must be logged into pxBuilder in order to access the system.Users will be validated upon login. FIG. 31A shows an exemplary loginwindow with fields for entering a username 3101 and password 3102.

Once a user is recognized by pxBuilder, the user shall gain access tothe various parts of pxBuilder according to his user rights. In order tosuccessfully access pxBuilder, a user must be authenticated by thesystem. A user will be validated once he signs into the pxBuilder. FIG.31B shows an exemplary welcome screen. The current instance of pxBuilderwill be displayed at the very top right side of the pxBuilder screen3103. When a user is authenticated by the system, his name 3104 isdisplayed beside the “Logout” control 3105 on the right side of thepxBuilder screen. Activating the “Logout” control from the top rightside of the pxBuilder screen will close the current session and the usershall return to the Login screen.

If the Username and Password do not match the one stored in the system,the authentication message in FIG. 31C is displayed. The user mustre-enter a valid Username 3106 and Password 3107 to proceed to thepxBuilder.

Upon authentication by the system, the user shall be presented with thepxQuote Products page, as shown in FIG. 31D. Users may create, copy oredit Products in different environments 3108. You will only see Productsfrom your current environment. Local shall be the default environment3109. A list of local copies shall be displayed 3110.

In order to add or clone a Product, the user must activate the“Add/Clone a Product Button” control 3111. The screen shown in FIG. 31Eis displayed: To add/clone a Product, the user must select the locationfrom which the Product will be cloned. Users will only see the Productfrom the environment they are in and may only clone to the localenvironment. All new Products will save to a local environment; the usermust publish the Product to his desired environment. If a user clones aProduct, there must be a difference between the original and the newProduct. Clashing Products cannot exist within the server as eachProduct must at least have a new Product ID. Once the user selects anexisting Product from the dropdown 3112, several of the required fieldsshall auto-populate, including the Product ID 3113, the Product Label3114 and the Carrier ID 3115. He must create a Local Name 3116.

In one implementation, “Local Name” 3116 is the name for the Product asit is designated by the user. In one implementation, “New Product ID”3113 is the identification for the Product as it is designated by theuser. In one implementation, “New Product Label” 3114 is he label forthe Product as it is designated by the user. The Product label shall bedisplayed on the pxBuilder Products page. In one implementation,“Carrier ID” 3115 is The Carrier ID as it is designated by the user. TheCarrier ID shall be displayed on the pxBuilder Products page. Activatingthe “Create Product” control 3117 shall create a new Product. Activatingthe “Cancel” control 3118 shall return the user to the pxQuote Productspage.

To edit an existing Product, a user must click on the Product name.Users may also view base criteria or delete a Product by clicking on theappropriate link. When a user clicks on an existing Product, the BasicProduct Data is displayed, as shown in FIG. 31F. Users may updateProduct data under each category for Header 3119, Workbook 3120 andApplication 3121.

The Product Toolbar, an embodiment of which is shown in FIG. 31G, islocated on the middle right side of the pxBuilder page. The links fromthe Toolbar are described in turn. Activating the “Download XML” link3122 shall display the window shown in FIG. 31H. The user may selectwhich option he wants to utilize to open 3128 or save 3129 the XML.Activating the “Validate” link 3123 shall validate the Product XML. Themessage shown in FIG. 31I will be displayed, with the validation message3130 and validation source 3131. Activating the “Vocabulary” link 3124shall connect the user to the Manage Vocabulary List page. Users can addor edit terms in the Vocabulary List. Activating the “Save” link 3125shall connect the user to the Save Product page, an embodiment of whichis shown in FIG. 31J. Activating the “Save Product” control 3132 shallsave all changes to the Product. Activating the “Back to Products”control 3133 shall return the user to the pxBuilder Products page.Activating the “Publish” link 3127 shall connect the user to the PublishDocument page, an embodiment of which is shown in FIG. 31K. Once a userselects a location 3134 to publish the Product, he must activate the“Publish Product” control 3135. The Product shall be published.

If the user activates the “Publish Product” control without selecting alocation, the following error message is displayed: “No destination wasspecified in the request”. If the Product is unavailable and the userselects a location and activates the “Publish Product” control, thefollowing error message is displayed: “Not Found: The requestedURL/service/products was not found on this server”.

Activating the “Cancel” 3136 control shall return the user to the BasicProduct Data page. Activating the “What am I about to change?” control3137 shall provide users with a Product comparison. The differencesbetween the new and existing Products shall be displayed to the user. Ifthe user activates the “What am I about to change?” control withoutselecting a location, the error message shown in FIG. 31L is displayed,providing an informative error message 3138. If the user selects alocation which is not available, the following error message isdisplayed: “Error getting the original product source”. Activating the“Back” control shall return the user to the previous page.

You may update the data for a specific product from the individualsections from the Product Data page.

You may update sections of a Header by activating the appropriatecontrols on the Product Data page (see FIG. 31F). Activating the “BaseCriteria” control 3139 shall connect the user to the Base Criteria page,an embodiment of which is shown in FIG. 31M. The Base Criteria are asuperset of base criteria representing Products in the system. Theyenumerate the information that an agent must use to choose a specificProduct. Therefore, the completion of the Base Selection Criteriaresults in only one Product. You cannot have two products with the sameBase Criteria. Activating the “Add Base Criteria” control 3140 shalltake the user to the page of the same name, as shown in FIG. 31N. Tocreate new base criterion, complete the required fields and activate the“Add” control 3141. The required fields for adding base criterion areName 3142, Label 3143 and Value 3144. Activating the “Cancel” control3145 shall return the user to the previous page. If the user activatesthe “Add” control without completing the required fields, an errormessage is displayed requesting that the user enter the required fieldsfor the new base criterion.

You may delete or update existing base criteria from the Base Criteriapage. Activating the trash control 3146 shall display the pop-up windowshown in FIG. 31O. To permanently delete the Base Criterion, activatethe “Ok” control 3147. To close the pop-window and return to the BaseCriteria page, activate the “Cancel” control 3148.

Click the link with base criterion 3139 to update its information. Tosave your updates to the base criterion, activate the “Apply Changes”control 3149. To discard changes and return to the previous page,activate the “Cancel” control 3150.

You may update sections of a Workbook by activating the appropriatecontrols on the Product Data page (see FIG. 31F).

Input Forms are the external pieces of information needed by the raterto quote the Product. These include fields that will be rendered by theinterface to collect user-supplied information as well as external datathat may be required to process a quote. This includes simple validationrules, including data type. Activating the “Input Form” control 3151shall link the user to the Edit Workbook Input Form page, an embodimentof which is shown in FIG. 31Q. Users may edit any part of the WorkbookInput Form. Activating the “Apply Changes” control 3152 shall save allchanges and return the user to the Basic Product Data page. Activatingthe “Cancel” control 3153 shall Cancel all changes and return the userto the previous page.

The updates required for future Products are detailed below. The inputfields must be labeled exactly as they are listed below.

<xs:enumeration value=“BCEGCode”/> <xs:enumerationvalue=“SquareFootUnderRoof”/> <xs:enumeration value=“ConstructionYear”/><xs:enumeration value=“ProtectionClass”/> <xs:enumerationvalue=“InHRAEligibleArea”/> <xs:enumeration value=“DistanceWater”/><xs:enumeration value=“Elevation”/>

The changes to syntax to auto-calculate coverages off of Coverage A aredescribed below.

Accepted values for <REFERENCE NAME> are: any string. Accepted valuesfor <REFERENCE TO FIELD> are: any valid <REFERENCE NAME>. Acceptedvalues for <OPERATOR> are: add, subtract, multiply, divide. Acceptedvalues for <OPERAND> are: any number.

When setting the value of one (1) field based upon the value of one (1)other field: <xf:input ref=“<REFERENCE NAME>” linkedFields=“<REFERENCETO FIELD>” operations=“<OPERATOR>,<OPERAND>” maxvalue=“5000”minvalue=“1”/>.

Example:

  <xf:input ref=”CoverageA” maxvalue=”500000” minvalue=”1”/>   xf:inputref=”CoverageB” linkedField=”CoverageA” operation=”multiply,.1”maxvalue=”300000” minvalue=”1”/>   <xf:input ref=”CoverageC”linkedField=”CoverageA” operation=”multiply,.5” maxvalue=”300000”minvalue=”1”/>

When setting the value of one (1) field based upon the value of multiplefields:

  <xf:input ref=”<REFERENCE NAME>” linkedFields=”<REFERENCE TOFIELD>,<REFERENCE TO FIELD>” operations=”<OPERATOR>” />

Example:

  <xf:input ref=”CoverageA” maxvalue=”500000” minvalue=”1”/>   <xf:inputref=”CoverageB” maxvalue=”300000” minvalue=”1”/>   <xf:inputref=”CoverageC” maxvalue=”300000” minvalue=”1”/>   <xf:inputref=”CoverageD” maxvalue=”300000” minvalue=”1”/>   <xf:input ref=”Total”linkedFields=”CoverageA,CoverageB,CoverageC,CoverageD” operation=”add”/>

The ixLocator interface is configured by adding an id attribute to anxf:group node. The node must contain the user input fields pertaining tothe property's address: PropertyStreetNumber, PropertyStreetName,PropertyAddressLine2, PropertyCity, PropertyState, PropertyZip, andPropertyZipPlusFour. A button labeled “Validate address” isautomatically appended to this group and will become enabled when all ofthe required elements in the ixLocator group have been completed. TheixLocator group may appear as its own section, or it may appear as asubsection of another group. If it is a top-level group, then a labelnode should appear as the first sub-element of the group. If theixLocator interface is a sub-element of another group, no label node isrequired. PropertyAddressLine2 and PropertyZipPlusFour are not requiredby ixLocator.

Example:

 <xf:group id=“ixLocator”>  <xf:input ref=“PropertyStreetNumber”required=“true type=“text”>   <xf:label>    Street Number   </xf:label> </xf:input>  <xf:input ref=“PropertyStreetName” required=“true”type=“text”>   <xf:label>    Street Name   </xf:label>  </xf:input> <xf:input ref=“//PropertyCity” required=“true” type=“text”>  <xf:label>    City   </xf:label>  </xf:input>  <xf:select1appearance=“full” default=“FL” ref=“//PropertyState” required=“true”>  <xf:label>    State  </xf:label>  <xf:item>   <xf:label>    FL  </xf:label>   <xf:value>    FL   </xf:value>  </xf:item> </xf:select1>  <xf:input ref=“PropertyZipCode” required=“true”type=“zipcode”>   <xf:label>    ZIP   </xf:label>  </xf:input> </xf:group>

Forms code rules are dependent on the number of selections which shallbe presented for the item. They are as follows: If the number ofenumerations is one or two, radio buttons shall be displayed. If thenumber of enumeration is three, a list box shall be displayed. If thenumber of enumerations is either four or higher, a dropdown box shall bedisplayed.

The TextArea control is very similar to the TextInput control and willaccept all of the same attributes except maxvalue and minvalue. Thevalue of the type attribute must be one of the following: text, string,or “ ”.

Example: XForms TextArea Control

<xf:textarea ref=”Comment” type=”” maxlength=”250”><xf:label>Comment</xf:label> </xf:textarea>

The Range control has two exclusive states: a horizontal slider, or adate chooser.

Example: Slider

<xf:range ref=”Deductible″ start=″−2.0″ end=″2.0″ step=″0.5″><xf:label>Balance</xf:label> </xf:range>

Example: Date Chooser

<xf:range ref=“EffectiveDate” start=“2001-01-01” end=“2001-12-31”><xf:label>Ship Date</xf:label> </xf:range>

The new attribute for XForms control is “affectspremium.” When it is setto “false,” it will not trigger a requote on change to that field. If itis set to “true” or it is not present, it will continue to requote uponany changes to the field.

affectsEligibility determines which fields shall impact eligibility,including but not limited to Coverages, Distance to Fire Hydrant, etc.Fields such as First Name and Last Name do not affect eligibility. Thedefault is “true;” to turn off affectseligibility, the agent must enter“affectEligibility=false.” Rating Impact is used to tell pxServer thecomplexity of rating. You may use: If the complexity of rating issimple, only Rating is used. If the complexity is complex, Rating andScoring is used. If the complexity is very complex, Rating, Scoring andModeling is used. If the complexity is not complex, it may remain blankas there is no rating impact. The only attribute values of “R”, “RS”, or“RSM” are supported. No other order of R, S, or M is permitted.

The XForms control “xf:help” shall populate any text from Help fields tothe Help widget. To denote required fields in the application side youmust now use appRequired=“true”, not required=“true”. The linkedfieldsattribute no longer is supported. Instead there is a calculationattribute. In this attribute you can write any mathematical function, bysurrounding input references with “[ ]”.

Example:

To calculate TIV, you just have to add the attributecalculation=“[CoverageA}+[CoverageB]+[CoverageC]”

The affectspremium attribute is no longer supported and should beremoved from the product. There is now an additional step for addinginputs to both the Quote and Application. You may continue to add formfields the same way as before, except default values are no longerhandled within the field declaration. There is now an <xf:instance>element underneath the <xf:model>. See the example below. When a formfield is added, it must also be added to the appropriate area of themodel. This is also where you may declare default values. Please add theXML under the area highlighted yellow to the input form just under thexf:model declaration. Please leave all input fields below that areunfamiliar to you intact. Many are necessary for cxRisk. Any inputfields you add to either the quote or application side must also beadded in the appropriate area of the xf:instance.

Example:

 <InputForm>  <xf:model xmlns:xf=“http://www.w3.org/2002/xforms”> <xf:instance>  <PolicyRequest locationid=“” percentagecomplete=“”producercode=“” useragent=“” username=“”>   <flags/>   <basecriteria>   <Carrier/>    <Product/>    <EffectiveDateRange/>    </basecriteria>   <quoteform>     <inputs>      <input name=“InsuredName” value=“RamaPoola”/>      <input name=“BuildingNumber” value=“”/>      <inputname=“BuildingLocation” value=“”/>     </inputs>    </quoteform>   <appform>     <inputs>      <input name=“InsuredContactName”value=“”/>      <input name=“InsuredMailingAddressLine1” value=“”/>     <input name=“InsuredMailingAddressLine2” value=“”/>     </inputs>    </appform>   </PolicyRequest>  </xf:instance>

Expressions are the rating calculations which establish the parameterswhich shall be utilized to calculate data in order to produce a quote.

Activating the “Expressions” control 3153 shall link the user to theWorkbook Expressions page, an embodiment of which is shown in FIG. 31R.Activating the “Add New Expression” control 3154 shall link the user tothe page of the same name, an embodiment of which is shown in FIG. 31S.The Expression Name 3155 is a required field. Activating the “Validateand Save” control 3156 shall check that all required fields have beencompleted for the new expression. Activating the “Cancel” control 3157shall cancel the user actions. The user shall return to the WorkbookExpressions page. If the required field has not been completed, thefollowing error message will be displayed: “Expression Errors: Theexpression name is required”. Activating the trash control 3158 shallremove the Workbook Expression from the list.

Activating the down arrow control 3159 shall move the WorkbookExpression to one position below the current location. Activating the uparrow control 3160 shall move the Workbook Expression to one positionabove the current location. Activating the cross arrows control 3161shall produce the pop-up window shown in FIG. 31T. The user shall enterthe new location 3162 for the selected Expression. The new location mustbe numerical. Activating the “Ok” control 3163 shall move the Expressionto the assigned place. Activating the “Cancel” control 3164 shall cancelthe window. The user shall remain on the Workbook Expressions page.

Users can create Expressions to access any of the root level data withCalculations, including Percentage Complete and Policy ID.

Percentage Complete: pxq.attributes.percentageComplete.

PolicyID: IIF(pxq.attributes.percentageComplete GTE 1, DE(‘HPC1’ &RepeatString(‘0’, 6-Len(pxq.attributes.index)) & pxq.attributes.index),DE(“ ”)).

The Tables page, an embodiment of which is displayed in FIG. 31U,displays all available Tables. Tables hold the data used for rating. Youmay add a new Table or delete, review or move existing Tables. Thenumber of existing Tables is presented in the header 3165. The number ofrows for each Table is displayed beside the name of the Table 3166.

Activating the “Add New Table” control 3167 takes you to the page of thesame name, an embodiment of which is shown in FIG. 31V. To add a newTable, activate the “Browse” control 3168. A File Upload window shall bedisplayed. You must select the Table from its current location andactivate the “Open” control. Once the name and location of the Tableappears in the Add Table text box, activate the “Upload Table XML”control. If the table was not saved in the right method, the followingerror message is displayed: “That table is not valid XML”.

Activating the trash control 3169 displays the pop-up window shown inFIG. 31W. To permanently delete the Table, activate the “Ok” control3170. To close the pop-window and return to the Tables page, activatethe “Cancel” control 3171.

Activating the magnifying glass control 3172 shall open the selectedTable. Activating the down arrow control 3173 shall prompt the OpenTable pop-up window. You can open the Table with your preferred XMLsoftware or save to disk. Activating the up arrow control 3174 shallconnect you to the Replace Table page, an embodiment of which is shownin FIG. 31X. To replace your current Table, active the “Browse” control3175. A File Upload window shall be displayed. You must select the Tablefrom its current location and activate the “Open” control. Once the nameand location of the Table appears in the Add Table text box, activatethe “Upload Table XML” control 3176. If the table was not saved in theright method, the following error message is displayed: “That table isnot valid XML”.

Rulesets are complex input validation and business rule evaluations thatare processed by cxLogic and evaluated by pxQuote. The Product supportsthe inclusion and extension of the cxLogic schema, including the desiredoutcome of a TRUE or FALSE evaluation, which is then sent back to thequoting client where the outcome is carried out. Activating the“Rulesets” control 3177 takes you to the page of the same name,embodiments of which are shown in FIGS. 31Y and 31Z.

You must select your cxLogic Ruleset Source from the radio controlbuttons 3178. You must select your Ruleset from the Add Ruleset dropdown3179. Once it is selected from the dropdown, the Ruleset will appear asthe final item on the Ruleset List 3180. The number of Rulesets in theWorkbook Rulesets header 3181 shall update automatically.

Activating the trash control 3182 displays the pop-up window shown inFIG. 31AA. To permanently delete the Ruleset, activate the “Ok” control3183. To close the pop-window and return to the Ruleset page, activatethe “Cancel” control 3184.

cxRisk Portfolio Quantification and Scoring

This section presents a discussion of some embodiments of cxRiskPortfolio Quantification and Scoring. In some, but by no means all,embodiments, the following definitions may apply:

Event Loss File (“ELF”)—Event loss file is the table containing theexpected loss per event from a probabilistic simulation. Thisinformation is generally provided by catastrophe vendor models AIR orRMS but is not limited to these models.

Portfolio Summary Files (“PSF”)—Portfolio summary file is theinformation such as premium, FHCF premium, expenses, non-cat loss and soon for a given portfolio.

Reinsurance Definition Files (“RDF”)—Reinsurance definition file withits reinsurance layer definition file (“RLDF”) describes the reinsurancestructure with either given value or method for attachment point,exhaustion point, layer limit, layer premium, layer reinstatementpremium and so on.

Reinsurance Layer Input File (“RLIF”)—Reinsurance layer input file issimilar to the RLDF with calculated attachment/exhaustion point,premium, layer ceded premium, layer reinstatement premium, layeroccurrence limit (the maximum loss can be recovered by reinsurance ifonly one event occurs) and aggregate limit (the maximum recoverablelosses in a year). It's derived from RLDF and PSF (if necessary). Themath is straightforward.

Year Loss File (“YLF”)—Year loss file lists losses per simulation year.It also shows each event with its loss in every cat year.

Reinsurance Layer Output File (“RLOF”)—Reinsurance layer output filecombines YLF with RLIF and shows the layer loss and ceded loss for everyevent in each simulation catastrophe year.

Reinsurance Output File (“ROF”)—Reinsurance output file summarizes thelayer loss and ceded layer loss in each year from RLOF.

Yearly Income Statement (“YIS”)—Year income statement calculates moreinformation related to each cat year including premium, expenses,non-cat losses, ceded cat losses and so on.

Capital Definition File (“CDF”)—Capital definition file describes themethod and lists the values useful to calculate the capital or capitalrequired based on PSF and YIS.

Profit Analysis (“PPA”)—Portfolio profit analysis summarizes informationfrom YIS and presents values such as capital required, breakevenpremium, adequate premium and so on.

TABLE 1 An example of ELF EventId YearId EventRate GrossLoss 1 1 0.10%114 2 2 0.15% 98 3 2 0.08% 76 4 3 0.36% 54 5 4 0.06% 35 6 4 0.14% 24 7 50.24% 11 8 6 0.03% 9

TABLE 2 An example of YLF YearId GrossLoss GrossLossEvent1GrossLossEvent2 2 174 98 76 1 114 114 4 59 35 24 3 54 54 5 11 11 6 9 9

To get the YLF from ELF, we need to do the summation on the gross lossthrough all years. For instance, Table 1 lists an ELF with only eightevents. Event 2 and 3 happen in the same cat year 2 and event 5 and 6happen in cat year 4 while the other four events happen in other fourcat years respectively. To get the YLF (Table 2), we need to lookthrough all years. For year 1, there is only one event related to it andthe gross loss is 114 million. For year 2, event 2 and 3 both contributeloss to it and the total is 174 million. And we do the same for the restof the years. In the YLF, it also lists gross loss per event at each catyear. The maximal number of events happened in one year in this exampleis two and therefore only two gross loss event columns are shown.

TABLE 3 Variables in reinsurance structure, in one embodiment VariableSymbol Description Participation Pp the percent of the layer going to becovered AttachmentPoint At the lower bound of the layer ExhaustionPointEx the upper bound of the layer LayerDeductible LD the amount of theloss retained to client OccurrenceLimit OL the full loss coverage forone event occurrence AggregateLimit AL the upper limit of full losscoverage for one cat year PremiumLayer PL the cost of purchasing thefull reinsurance layer PremiumCeded PC the actual reinsurance layer costconsidering the participatio ReinstatementPremium RP the cost ofpurchasing the reinstatement reinsurance

Now we add the RLIF to get the RLOF. Before we do that, we are firstgoing to see some definitions of reinsurance structure in one embodimentin Table 3. Attachment and exhaustion are the two bounds of the layer.They can be given as fixed values in RLDF, they can be calculated basedon the losses at a certain return periods from a given portfolio, orthey can be derived from an alternative means (i.e. the FHCF premiumusing some multipliers given by Florida Hurricane Catastrophe Fund).Occurrence limit confines the maximum recovered losses for each layer inone occurrence. Aggregate limit caps the total recovered losses for eachlayer in one cat year. Aggregate limit is equal to occurrence limit ifthere is no reinstatement reinsurance purchased.

The reinstatement premium calculation may be more involved if it's notprepaid up front. There are many contracts containing reinstatementprovision as “1 at 100%”. That means the contract has one reinstatementwith the reinstatement premium calculated as 100% of reinsurance costfor pro rata limit. It's paid after the occurrence of one event toreinstate the coverage to full limit for second occurrence. Formula 1.1below describes how to calculate the reinstatement premium of one layer.RP=ROL×f×L  (1.1)

where ROL is rate on line of each layer; f is the fraction ofreinstatement premium rate versus up-front premium. In the exampleabove, f=100%; and L is the loss of the layer.

Since PL=ROL×OL×P_(p) (see below), we have:

$\begin{matrix}{{R\; P} = {{\frac{P\; L}{O\; L \times P_{p}} \times f \times L} = {P\; L \times f \times \frac{L}{O\; L \times P_{p}}}}} & (1.2)\end{matrix}$

TABLE 4 An example of reinstatement program LayerId OccurrenceLimitPremiumLayer Participation LayerLossEvent1 1 10 2 100% 8

For example, if the reinstatement provision specifies premium as “1 at100%”, then according to Table 4, we have

${R\; P} = {{2 \times 100\% \times \frac{8}{10 \times 100\%}} = {1.6.}}$

TABLE 5 First example of getting RLOF from RLIF and YLF LayerIdAttachment Exhaustion OccurrenceLimit AggregateLimit Participation 1 3 85 10 1 YearId Layerid GrossLossEvent1 GrossLossEvent2 CededLossEvent1CededLossEvent2 1 1 5 7 2 4 2 1 9 7 5 4 3 1 5 9 2 5

Next we are studying the calculation of cat losses. Suppose we are givena reinsurance layer with 3 million at attachment and 8 million ofexhaustion with 100% participation. The occurrence limit is 5 millionand aggregate limit is 10 million. We have three years all with twoevents listed in Table 5. For year 1, the first event happens with grosslosses of 5 million. It will generate 5−3=2 million ceded losses. Thesecond event causes 7 million losses and have 7−3=4 million cededlosses. For year 2, the first event has 9 million in losses which arebigger than the exhaustion point. This will cause 5 million ceded lossesby considering the occurrence limit. The second event will bring 4million ceded losses with total gross losses of 7 million.

TABLE 6 Second example of getting RLOF from RLIF and YLF of RLOF LayerIdAttachment Exhaustion OccurrenceLimit AggregateLimit Participation 1 3 85 5 1 YearId Layerid GrossLossEvent1 GrossLossEvent2 CededLossEvent1CededLossEvent2 1 1 5 7 2 3 2 1 9 7 5 0 3 1 5 9 2 3

In our second example, we change the aggregate limit from 10 million to5 million and remain all other the same. In year 1, event 1 happens with5 million losses again and the ceded losses are 2 million, the same asin the previous example. Event 2 makes 7 million losses and it supposesto bring 4 million ceded losses. However, since the total ceded lossesis capped by aggregate limit, the ceded loss for event 2 is 5 (aggregatelimit)−2 (previous ceded loss)=3 million. From the examples above, wecan summarize the formulas.

Declare, for the Present Embodiment:

L—Event loss

CL—Ceded loss

TCL—Total existing ceded loss, i.e. summed ceded loss from previousevents

and refer to Table 3, we haveCL=MIN(AL−TCL,MIN(OL,L−At))×Pp  (1.3)

Using previous example, in Table 6 year 1 has two events. For the firstevent, the ceded loss is equal to MIN(5−0,MIN(5, 5−3))×100%=MIN(5, 2)=2.For the second event, the ceded loss is equal to MIN(5-2,MIN(5,7−3))×100%=MIN(3, 4)=3.

TABLE 7 An example of ROF Yearid GrossLoss CededLoss NetLoss 1 12 6 6 216 9 7 3 14 7 7

After we get the RLOF, we can sum the ceded loss through all layers foreach cat year to get the ROF. An example of ROF can be seen from Table7. The net loss stands for the loss retained after subtracting cededloss from gross loss.

TABLE 8 An example of PSF Premium PremiumFHCF OtherRevenue ExpensesNonCatLosses 100 13 5 25 20 YearId NoncatLosses GrossCatLossesCededCatLosses NetCatLosses UnderwritingIncome 1 20 12 6 6 19 2 20 16 97 18 3 20 14 7 7 18

TABLE 9 An example of YIS YearId Premium OtherRevenue ReinsurancePremiumReinstatementPremium Expenses 1 100 5 25 10 25 2 100 5 25 10 25 3 100 525 10 25

If we add information from PSF, we are able to construct the YIS now.Examples are shown in Table 8 and Table 9. Note underwriting income isthe net income after subtracting all the costs such as reinsurance cost,non cat loss, net cat loss and expense from the gross income.

CDF states the capital structure and specifies the method used tocalculate the capital. There are many differing motivations to managecapital including:

-   -   Compliance with regulatory guidelines—State regulators and the        National Association of Insurance Commissioners provides        guidance and, in some cases, directs company action based on the        ability of insurance companies to maintain capital levels in        compliance with various metrics.    -   Compliance with rating agency guidelines—Rating Agencies such as        AMBest, Standard & Poor's and Moody's have general guidelines        and complex models that provide guidance on how much capital is        required based on a given insurance company or companies        business/risk profile.    -   Internal Risk Management Measures—As part of ordinary course        business practice, insurance companies create a framework to        assess the adequacy of capital levels in comparison to their        business profile.

For instance, an insurance company might be asked to put at least $2 for$1 potential net cat loss. CDF might also specify the capital charge andrequired ROC.

By applying CDF on YIS file, we are able to get the portfolio profitanalysis file. As seen in Table 9, the underwriting income is calculatedfor each cat year. The average of underwriting income is the expectedunderwriting income before applying the capital charge if any.

In one embodiment, we have definitions:

P—Premium

I—Other income revenue

E—Expense

NCL—Non Cat Losses

RL—Retained Losses, i.e., net cat losses

NL—Net Losses (NCL+RL)

R—Reinsurance Premium (Include reinstatement premium)

BP—Breakeven Premium

AP—Adequate Premium

C—Capital Required

Pt—Profit

ROC—Return on Capital

The revenue is primarily or entirely from the premium. Some otherrevenue, if any, may be considered. The cost includes expense,reinsurance cost, non catastrophe loss, and net catastrophe loss.Pt=P+I−E−NCL−RL−R  (1.4)ROC=Pt/C  (1.5)

Note the expense and non cat loss are generally given as a portion ofthe premium or of the total insured value (TIV). It's determined byindividual client. Breakeven premium is another important value in PPAfile. It's the premium that makes the income equal to the cost.0=BP+I−E*−NCL*−RL−R  (1.6)

E* and NCL* are the expense and non cat loss associated with thebreakeven premium. That means if they are derived from breakevenpremium, when solving the above formula, those two values should betaken as unknown variables too. With another two formulas describing therelationships between expense and breakeven premium as well as non catloss and breakeven premium, we are able to work out the breakevenpremium.E*=BP×Er  (1.7)NCL*=BP×NCLr  (1.8)

where Er is expense ratio and NCLr is the non cat loss ratio.

Similarly, adequate premium is the premium to make the required returnon capital.ROC×C=AP+I−E−NCL−RL−R  (1.9)

where ROC is the required return on capital given in CDF and E* and NCL*are the expense and non cat loss associated with the adequate premiumthis time.

Scoring is a process to evaluate the individual risk with some specificmethods. According to different methods, scoring can be grouped asmarginal scoring, standalone scoring and allocated scoring.

Marginal scoring is to rate the risk by evaluating the impact of addingthe individual risk to a specific portfolio. The portfolio can be acurrent existing portfolio in the company. The impact to be consideredcan be change of the predicted loss or it can be the marginal values infinance such as change of profit. Stand alone scoring is to rate therisk according to its own information such as its simulated losses.Allocated scoring is similar to marginal scoring to the extent that itconsiders a risk in the context of a portfolio of risks. However,allocated scoring does not give individual risks the entire benefit ofdiversification that marginal scoring provides. Instead, allocatedscoring allocates a portion of the losses, reinsurance costs, capital,et al associated with the considered risk. This is done whenever thelosses, reinsurance costs, capital, et al cannot be directly attributedto an individual risk. These amounts are generally distributed by theconsidered risk's contribution to the losses of the portfolio.

When asked to compare two risks, it's very reasonable to think whichrisk will to better to the current portfolio if added. That's the ideaof marginal scoring. The marginal scoring requires knowing of portfolioused and some of individual risk information such as event losses fromthe cat models. In general, we are seeking for the values of variableslike ΔPML, ΔAAL/ΔP, and ΔROC.

When adding a new risk, several obvious changes are premium, FHCFpremium (if applicable), and event loss table. Premium and FHCF premiumare just the amounts carried by the risk. The new event loss table isgiven by linearly adding the corresponding losses for each event fromthe risk ELF to the portfolio ELF.

TABLE 10 An example of combining ELF EventId YearId EventRate GrossLossPORTFOLIO ELF 1 1 0.10% 14 2 2 0.15% 10 3 2 0.08% 25 4 3 0.36% 7 RISKELF 1 1 0.10% 2 3 2 0.08% 1.5 4 3 0.36% 1.8 5 3 0.05% 0.3 COMBINED ELF 11 0.10% 16 2 2 0.15% 10 3 2 0.08% 26.5 4 3 0.36% 8.8 5 3 0.05% 0.3

Table 10 gives an example of combining two event loss files. If we addthe risk ELF to the portfolio ELF shown, we can easily get the combinedELF in the bottom. The events only appear either in portfolio ELF or inrisk ELF are copied directly while for those common events the grosslosses are added in the combined ELF.

TABLE 11 An example of getting PML from YLF YearId MaximumLoss OEP 1 1140.01% 2 98 0.02% 3 54 0.03% 4 35 0.04% 5 11 0.05% 6 9 0.06%

PML stands for probable maximum loss at given return period. Itdetermines how large a loss will occur at the given probability level.PML is got from the exceendance probability (“EP”) curve derived fromELF (see Appendix A) or from the YLF. According to Table 1 and Table 2,we build Table 11 which shows an example of getting the PML from YLF.Assume the number of total cat years we simulate is 10,000. In each catyear, we find the maximum event gross loss. For instance in year 2, twoevents occur and the maximum event loss is 98 million. OEP stands foroccurrence exceedance probability. It is the probability of having eventwith loss exceeding the maximum loss given in the second column. Forexample in row 2, the maximum loss is 98, there are two cat years whichare year 1 and year 2 at which events occur with loss bigger and equalto 98 million. Therefore the OEP for row 2 is equal to 0.02%= 2/10000.The PML is based on the OEP. For the given return period 2000 (meaningthe OEP is 1/2000), for example, the PML is equal to 11 million which isthe maximum loss at OEP equal to 1/2000. For some probability levelwhich is not in the table, we use the linear interpolation method to getthe exceedance loss. The same way can be used to construct the AEP whichstands for aggregate EP curve. Instead of using maximum loss, AEP isbased on the aggregate loss for each year.

As mentioned, by adding a risk into a portfolio we are adding morelosses which results in the EP curve changes. To get the delta PML,theoretically, we suppose to use the new EP curve which is generated inthe cat models, find the new PML at given point, and then compare withthe old PML. However, this won't catch the enough information toevaluate the impact of the additional risk. A slight change of loss onone event might change the order of the events in the event loss tableand cause the huge difference on the PML according to the theoreticalmethod. Therefore we need a method gives less random and more consistentresults.

Instead of using one point, we consider the events in the neighborhoodof the required return period from the portfolio EP (constructed fromELF or YLF). The exceedance range size should be set to be reasonable:if it's too wide, we are losing the specialty of the given returnperiod; if it's too narrow, results might not be comparable. After therange has been set, delta PML can be got from the formula below.

$\begin{matrix}{{\Delta\; P\; M\; L} = {P\; M\; L \times \frac{\sum\limits_{n}{\Delta\;{L/L}}}{n}}} & (2.1)\end{matrix}$

The steps are:

-   -   For each event in the PML range, calculate the loss change ratio        ΔL/L.    -   Average the ratio through n events in the range.    -   Multiple the PML of the portfolio by the average ratio from step        2.

TABLE 12 An example of delta PML EventId YearId EventRate Portfolio LossCombined Loss Change Ratio 1 1 0.10% 14 16 14% 2 2 0.15% 10 10 0% 3 20.08% 25 26.5 6% 4 3 0.36% 7 8.8 26%

Using the example in Table 10, suppose events 1˜4 are selected in thePML range. The loss change ratio for each event is listed in Table 12and therefore the average ratio is 10.5%. This value times the portfolioPML is taken as the ΔPML. Note again the delta PML calculated in thismethod is not the actual marginal PML by actually adding the risk. It'smore a value which carries information for variations of the EP or ELTaround given return period.

ΔAAL/ΔP is another common ratio in ranking of the risks. It measures howmuch loss the risk brings to receive one dollar premium. The bigger theratio, the lower rank the risk has. After the risk has been modeled,this ratio can be calculated independently without the portfolio. ΔAALis got from the event loss table of the risk by summing the lossweighted by event rate. ΔP is the given premium of the risk. Using theexample in Table 10, the risk AAL is equal to2×0.001+1.5×0.0008+1.8×0.0036+0.3×0.0005=0.00983.

To calculate the delta return of capital, we have to get the deltaprofit ΔPt and delta capital ΔC. We saw profit is defined as thedifference between total income cash flow and total outcome cash flow.

If we add a risk to an existing portfolio, the premium will be increasedof the amount for the additional risk. Therefore, the expense and noncat loss might change with the premium (or with TIV) and we set the newPSF. Reinsurance cost variation depends on the structure and methodsused. For FHCF reinsurance layer the changes which include retention,exhaustion and layer reinsurance premium rely on the risk FHCF premium.For other layers, the changes might be determined by the change of ELFif the given method of calculating the layer attachment and exhaustionpoint is to use the exceedance loss at a given return period from theELF. With those changes on attachment point and exhaustion point foreach layer, we build the new RLIF. The new net cat loss also has to becalculated with the new ELF which is transferred to new YLF and combinedwith RLIF to get the new RLOF using the same method introducedpreviously. The rest steps are straightforward. Summarizing from the newRLOF, we get new ROF and combine it with PSF to get YIS. Then we applythe same CDF on it to get the PPA. The delta values are the differencebetween the new PPA and old PPA.

There is no portfolio needed for stand alone scoring compared tomarginal scoring. Values such as PML and AAL of the risk are based onits own ELF and YLF. The PML here is the real exceedance losses gettingfrom the actual EP curve or event loss table. ΔPML for marginal scoringis a value to evaluate the impact of the risk on the portfolio aroundthe given return period. It is not the actual difference on the PML atthe given return period. Based on the FDF, similar to PSF, we are ableto calculate the things such as expense and non cat loss which aredependent on the risk premium or TIV. By applying RDF and RLDF of perrisk basis, the same ideas can be used to construct RLIF, RLOF andtherefore YIS. Thus the profit may be calculated using the formula 1.4above. The next step is applying the CDF to get the other financialmeasures.

Capital required is generally given by measuring a point on the tail ofEP curves and holding capital equals to some multiple of that amount.For instance, there is an example OEP in Table 13. The given CDFspecifies the required capital equal to the average of the loss of threepoints at EP: AVG(4×L_(50-yr), 2.5×L_(100-yr), 1.5×L_(250-yr)). So therequired capital for the given risk is equal to

$\frac{{4 \times 21} + {2.5 \times 25} + {1.5 \times 45}}{3} = {\frac{214}{3} = {71.33.}}$All other financial measures are calculated in the same way as above(formulas 1.5-1.9).

TABLE 13 An example of risk OEP Loss OEP 45 0.4% 34 0.5% 25 1.0% 21 2.0%18 4.0% 11 5.0% 7 10.0%

As mentioned, allocate scoring is similar to marginal scoring that bothcalculations have to be based on the portfolio. Allocate scoring is usedwhile the losses, reinsurance costs or the capital cannot be directlyattribute to the individual risk. For instance, suppose we are measuringearthquake risks using current hurricane portfolio, we cannot combinethe ELF of the hurricane portfolio with that of the earthquake risksince the events of different perils are different. This prohibits ususing the marginal scoring. However, we are able to use the risk'scontribution to the losses of portfolio to measure those amounts likereinsurance cost or capital of the risk. For instance, we might use theAAL fraction of the risk to the portfolio to allocate the reinsurancecost and capital for the individual risk from the portfolio. Otherfinancial measures are able to be calculated based on those distributedamounts. For instance, the profit is equal to the revenue (premium+otherrevenue) subtracting the cost (allocated reinsurance cost, expense, noncat loss, and allocated net cat loss).

Event loss table is one of the most common used terms in catastropheinsurance industry. It's the main modeling result from catastrophemodels such as RMS and AIR. It lists the predicted loss of eachsimulated event based on historical data. It is mainly composed byevents, event rates which is the annual probability of occurrence, andpredicted losses. More information can be found in www.rms.com andhttp://www.air-worldwide.com. An example is given in Table 1.

TABLE 14 An example of ELT and EP EventId EventRate Loss ExceedanceProbability 1 0.002 2,600,000 0.0020 2 0.005 1,890,000 0.0070 3 0.0101,025,000 0.0169 4 0.020 890,000 0.0366 5 0.030 720,000 0.0655 6 0.100500,000 0.1589 7 0.100 320,000 0.2430 8 0.100 100,000 0.3187 9 0.250 00.4891

EP curve, an embodiment of which is shown in FIG. 32, is another thingwidely used related to the catastrophe modeling. It shows the exceedanceprobability 3201 associate with the loss 3205, i.e. the probability thatthe loss (either occurrence loss or aggregate loss) of an event isgreater than the certain value. If the loss is occurrence loss, then theEP curve is called OEP and for aggregate loss, it's called AEP. The EPcurve is derived from ELT or YLF. Table 14 shows an example of gettingEP from ELT without consideration of uncertainties on event loss. It canbe easily understood. For instance, the probability of an event causinga loss bigger than and equal to 2.6 million is 0.002 since only event 1is qualified for that. For the second loss, there are two events causingloss bigger than it. If two events are statistically independent, thenthe sum of those two event rates is the exceedance probability. Usually,the exceedance probability of loss L_(i) is given by

$\begin{matrix}{{E\;{P\left( L_{i} \right)}} = {1 - {\prod\limits_{j = 1}^{i}\;\left( {1 - p_{j}} \right)}}} & \left( {A{.1}} \right)\end{matrix}$

where p_(j) stands for the event rate for the events with losses lessthan L_(i) (see Patricia Grossi and Howard Kunreuther, Catastrophemodeling: a new approach to manage risk, Springer, 2005). PML stands forprobable maximum loss. It means given a return period which isexceedance probability, the loss associate with it in the EP curve. AALstands for average annual loss which is the annual expected loss.

$\begin{matrix}{{A\; A\; L} = {\sum\limits_{i = 1}^{n}{L_{i} \times p_{i}}}} & \left( {A{.2}} \right)\end{matrix}$

where L_(i) and p_(i) are the loss and annual probability of the ithevent.

FHCF is Florida Hurricane Catastrophe Fund. It was created by a speciallegislation in Florida “to protect and advance the state's interest inmaintaining insurance capacity in Florida by providing reimbursements toinsurers for a portion of their catastrophic hurricane losses.” (seehttp://www.sbafla.com/fhcf/). There are several values related to FHCF:FHCF premium, FHCF retention multiplier, FHCF exhaustion multiplier, andFHCF participation. FHCF premium can be calculated based on the ratestable regulated by FHCF legislation. It's equal to the reinsurance costof the FHCF layer. FHCF retention multiplier and FHCF exhaustionmultiplier are two constants used to calculate the FHCF layer attachmentpoint and exhaustion point. These two constants are designated by FHCFevery year and they are different for the different FHCF participation.

Insurance companies usually buy reinsurance to reduce the losses. Atypical reinsurance structure contains several layers and every layerhas its attachment point, exhaustion point, participation, rate on line(ROL), reinstatement premium protection (RPP) ratio and so on. Theuseful information the insurance companies need to get from thereinsurance structure include 1. occurrence limit and aggregate limitwhich are used to calculate ceded cat losses. 2. reinsurance premium andreinstatement premium which are used to calculate profit. Occurrencelimit stands for the full coverage of the reinsurance program if oneevent occurs, while aggregate limit tells the total coverage of thereinsurance if multi events happen in a year. Reinsurance premium isbased on the ROL which stands for the cost of covering $1 losses.R=ROL×OL×P _(p)  (B.1)

where R is reinsurance cost, OL is occurrence limit, P_(p) stands forthe participation.

All these values rely on the attachment point and exhaustion point ofeach layer which are fixed values given, flexible points based on ELF,or calculated from FHCF multipliers.

The reinstatement provision is a common feature of most reinsurancecontracts which sets the limit paid by the contract. The limit can beput based on the number of occurrences or the aggregated losses. If thecontract has one reinstatement provision on the number of occurrences,the reinsurer will be responsible for the losses (less and equal tooccurrence limit) at two occurrences. If it's based on aggregatedlosses, then the reinsurer needs to cover the losses to the setaggregated loss no matter how many events occur (each recovered loss cannot exceed occurrence limit). The examples above are based on theaggregated loss. For the limit based on the number of occurrences, theceded loss calculation is simpler. For instance, the first two events,each ceded loss is calculated as MIN(L,OL).

The reinstatements may be free or paid which brings the complexity ofthe reinstatement premium calculation. If the reinstatements are free,all of the premium is paid up front. The prepaid reinstatement premiumis calculated similar as the reinsurance cost with different ROL. Forpaid reinstatements, a portion of the premium is paid following theoccurrence of an event to reinstate the coverage of the secondoccurrence. The paid reinstatement premium may be pro rata to full limitor be based on the time remaining in the contract.

Example: Generating a Workbook Rule

FIGS. 33A-E show one implementation of adding a new field to a workbookthat is evaluated by a new cxLogic ruleset. FIG. 33A shows seven fieldsfor the “Declared Insured Value/Policy Limits” section of a risk rater,including Dwelling Value 3301, Personal Property Value 3305, Loss of UseValue 3310, Total Declared Insured Value 3315, Policy Limit Option 3320,Wind/Hail Sublimit 3325, and Non-Wind/Hail Limit/Sublimit 3330. FIG. 33Bshows a new field (Distance to Nearest Sinkhole, 3335) being added tothe workbook product using pxBuilder via the Input Form control 3340.The resulting new field generated in the client (i.e., pxQuoteinterpretation of the workbook product) is shown at 3345 in FIG. 33C.FIG. 33D shows an implementation of cxLogic, wherein a new ruleset isbeing added to use the sinkhole data. The rule name 3350, expression3355, rule description 3360, and reason description 3365 may all beinput here. Once the ruleset is created in cxLogic, it is added to theworkbook product using pxBuilder. An example of the XML that may beadded to the product to reference the ruleset in one implementation is:

<Rulesets> <ExternalRuleset name=“Distance to nearest sinkhole”trueresult=“BLOCK” uuid=“047A1944-1372-3E27-9AD1D8F878C2CD40”/></Rulesets>

This ruleset is set to issue a ‘BLOCK’ if the rule evaluates to true.This is defined with the attribute trueresult=“BLOCK”. In an alternativeimplementation, the ruleset may be set to issue a ‘FLAG’ if the ruleevaluates to true, whereby a system administrator and/or operator may benotified of the rule evaluation outcome. FIG. 33E shows an example inwhich a particular candidate risk yields a ‘BLOCK’ 3370 because thesinkhole data entered evaluated to TRUE in cxLogic. The message 3375shown below in the Messages section 3380 is the same message that a userentered in cxLogic (FIG. 33D) under reason description 3365.

Provider Controller

FIG. 34A of the present disclosure illustrates inventive aspects of aProvider controller 3401 in a block diagram. In this embodiment, theProvider controller 3401 may serve to aggregate, process, store, search,serve, identify, instruct, generate, match, and/or update databases,database elements, database element fields, and/or other related data.

Typically, users, which may be people and/or other systems, engageinformation technology systems (e.g., commonly computers) to facilitateinformation processing. In turn, computers employ processors to processinformation; such processors are often referred to as central processingunits (CPU). A common form of processor is referred to as amicroprocessor. CPUs use communicative signals to enable variousoperations. Such communicative signals may be stored and/or transmittedin batches as program and/or data components facilitate desiredoperations. These stored instruction code signals may engage the CPUcircuit components to perform desired operations. A common type ofprogram is a computer operating system, which, commonly, is executed byCPU on a computer; the operating system enables and facilitates users toaccess and operate computer information technology and resources. Commonresources employed in information technology systems include: input andoutput mechanisms through which data may pass into and out of acomputer; memory storage into which data may be saved; and processors bywhich information may be processed. Often information technology systemsare used to collect data for later retrieval, analysis, andmanipulation, which is commonly facilitated through a database program.Information technology systems provide interfaces that allow users toaccess and operate various system components.

In one embodiment, the Provider controller 3401 may be connected toand/or communicate with entities such as, but not limited to: one ormore users from user input devices 3411; peripheral devices 3412; acryptographic processor device 3428; and/or a communications network3413.

Networks are commonly thought to comprise the interconnection andinteroperation of clients, servers, and intermediary nodes in a graphtopology. It should be noted that the term “server” as used throughoutthis disclosure refers generally to a computer, other device, program,or combination thereof that processes and responds to the requests ofremote users across a communications network. Servers serve theirinformation to requesting “clients.” The term “client” as used hereinrefers generally to a computer, other device, program, or combinationthereof that is capable of processing and making requests and obtainingand processing any responses from servers across a communicationsnetwork. A computer, other device, program, or combination thereof thatfacilitates, processes information and requests, and/or furthers thepassage of information from a source user to a destination user iscommonly referred to as a “node.” Networks are generally thought tofacilitate the transfer of information from source points todestinations. A node specifically tasked with furthering the passage ofinformation from a source to a destination is commonly called a“router.” There are many forms of networks such as Local Area Networks(LANs), Pico networks, Wide Area Networks (WANs), Wireless Networks(WLANs), etc. For example, the Internet is generally accepted as beingan interconnection of a multitude of networks whereby remote clients andservers may access and interoperate with one another.

The Provider controller 3401 may be based on common computer systemsthat may comprise, but are not limited to, components such as: acomputer systemization 3402 connected to memory 3429.

Computer Systemization

A computer systemization 3402 may comprise a clock 3430, centralprocessing unit (CPU) 3403, a read only memory (ROM) 3406, a randomaccess memory (RAM) 3405, and/or an interface bus 3407, and mostfrequently, although not necessarily, are all interconnected and/orcommunicating through a system bus 3404. Optionally, the computersystemization may be connected to an internal power source 3486.Optionally, a cryptographic processor 3426 may be connected to thesystem bus. The system clock typically has a crystal oscillator andprovides a base signal. The clock is typically coupled to the system busand various clock multipliers that will increase or decrease the baseoperating frequency for other components interconnected in the computersystemization. The clock and various components in a computersystemization drive signals embodying information throughout the system.Such transmission and reception of signals embodying informationthroughout a computer systemization may be commonly referred to ascommunications. These communicative signals may further be transmitted,received, and the cause of return and/or reply signal communicationsbeyond the instant computer systemization to: communications networks,input devices, other computer systemizations, peripheral devices, and/orthe like. Of course, any of the above components may be connecteddirectly to one another, connected to the CPU, and/or organized innumerous variations employed as exemplified by various computer systems.

The CPU comprises at least one high-speed data processor adequate toexecute program components for executing user and/or system-generatedrequests. The CPU may be a microprocessor such as AMD's Athlon, Duronand/or Opteron; IBM and/or Motorola's PowerPC; IBM's and Sony's Cellprocessor; Intel's Celeron, Itanium, Pentium, Xeon, and/or XScale;and/or the like processor(s). The CPU interacts with memory throughsignal passing through conductive conduits to execute stored signalprogram code according to conventional data processing techniques. Suchsignal passing facilitates communication within the Provider controllerand beyond through various interfaces. Should processing requirementsdictate a greater amount speed, parallel, mainframe and/orsuper-computer architectures may similarly be employed. Alternatively,should deployment requirements dictate greater portability, smallerPersonal Digital Assistants (PDAs) may be employed.

Power Source

The power source 3486 may be of any standard form for powering smallelectronic circuit board devices such as the following power cells:alkaline, lithium hydride, lithium ion, lithium polymer, nickel cadmium,solar cells, and/or the like. Other types of AC or DC power sources maybe used as well. In the case of solar cells, in one embodiment, the caseprovides an aperture through which the solar cell may capture photonicenergy. The power cell 3486 is connected to at least one of theinterconnected subsequent components of the Provider thereby providingan electric current to all subsequent components. In one example, thepower source 3486 is connected to the system bus component 3404. In analternative embodiment, an outside power source 3486 is provided througha connection across the I/O 3408 interface. For example, a USB and/orIEEE 1394 connection carries both data and power across the connectionand is therefore a suitable source of power.

Interface Adapters

Interface bus(ses) 3407 may accept, connect, and/or communicate to anumber of interface adapters, conventionally although not necessarily inthe form of adapter cards, such as but not limited to: input outputinterfaces (I/O) 3408, storage interfaces 3409, network interfaces 3410,and/or the like. Optionally, cryptographic processor interfaces 3427similarly may be connected to the interface bus. The interface busprovides for the communications of interface adapters with one anotheras well as with other components of the computer systemization.Interface adapters are adapted for a compatible interface bus. Interfaceadapters conventionally connect to the interface bus via a slotarchitecture. Conventional slot architectures may be employed, such as,but not limited to: Accelerated Graphics Port (AGP), Card Bus,(Extended) Industry Standard Architecture ((E)ISA), Micro ChannelArchitecture (MCA), NuBus, Peripheral Component Interconnect (Extended)(PCI(X)), PCI Express, Personal Computer Memory Card InternationalAssociation (PCMCIA), and/or the like.

Storage interfaces 3409 may accept, communicate, and/or connect to anumber of storage devices such as, but not limited to: storage devices3414, removable disc devices, and/or the like. Storage interfaces mayemploy connection protocols such as, but not limited to: (Ultra)(Serial) Advanced Technology Attachment (Packet Interface) ((Ultra)(Serial) ATA(PI)), (Enhanced) Integrated Drive Electronics ((E)IDE),Institute of Electrical and Electronics Engineers (IEEE) 1394, fiberchannel, Small Computer Systems Interface (SCSI), Universal Serial Bus(USB), and/or the like.

Network interfaces 3410 may accept, communicate, and/or connect to acommunications network 3413. Through a communications network 3413, theProvider controller is accessible through remote clients 3433 b (e.g.,computers with web browsers) by users 3433 a. Network interfaces mayemploy connection protocols such as, but not limited to: direct connect,Ethernet (thick, thin, twisted pair 10/100/1000 Base T, and/or thelike), Token Ring, wireless connection such as IEEE 802.11a-x, and/orthe like. A communications network may be any one and/or the combinationof the following: a direct interconnection; the Internet; a Local AreaNetwork (LAN); a Metropolitan Area Network (MAN); an Operating Missionsas Nodes on the Internet (OMNI); a secured custom connection; a WideArea Network (WAN); a wireless network (e.g., employing protocols suchas, but not limited to a Wireless Application Protocol (WAP), I-mode,and/or the like); and/or the like. A network interface may be regardedas a specialized form of an input output interface. Further, multiplenetwork interfaces 3410 may be used to engage with variouscommunications network types 3413. For example, multiple networkinterfaces may be employed to allow for the communication overbroadcast, multicast, and/or unicast networks.

Input Output interfaces (I/O) 3408 may accept, communicate, and/orconnect to user input devices 3411, peripheral devices 3412,cryptographic processor devices 3428, and/or the like. I/O may employconnection protocols such as, but not limited to: Apple Desktop Bus(ADB); Apple Desktop Connector (ADC); audio: analog, digital, monaural,RCA, stereo, and/or the like; IEEE 1394a-b; infrared; joystick;keyboard; midi; optical; PC AT; PS/2; parallel; radio; serial; USB;video interface: BNC, coaxial, composite, digital, Digital VisualInterface (DVI), RCA, RF antennae, S-Video, VGA, and/or the like;wireless; and/or the like. A common output device is a television set145, which accepts signals from a video interface. Also, a videodisplay, which typically comprises a Cathode Ray Tube (CRT) or LiquidCrystal Display (LCD) based monitor with an interface (e.g., DVIcircuitry and cable) that accepts signals from a video interface, may beused. The video interface composites information generated by a computersystemization and generates video signals based on the compositedinformation in a video memory frame. Typically, the video interfaceprovides the composited video information through a video connectioninterface that accepts a video display interface (e.g., an RCA compositevideo connector accepting an RCA composite video cable; a DVI connectoraccepting a DVI display cable, etc.).

User input devices 3411 may be card readers, dongles, finger printreaders, gloves, graphics tablets, joysticks, keyboards, mouse (mice),remote controls, retina readers, trackballs, trackpads, and/or the like.

Peripheral devices 3412 may be connected and/or communicate to I/Oand/or other facilities of the like such as network interfaces, storageinterfaces, and/or the like. Peripheral devices may be audio devices,cameras, dongles (e.g., for copy protection, ensuring securetransactions with a digital signature, and/or the like), externalprocessors (for added functionality), goggles, microphones, monitors,network interfaces, printers, scanners, storage devices, video devices,video sources, visors, and/or the like.

It should be noted that although user input devices and peripheraldevices may be employed, the Provider controller may be embodied as anembedded, dedicated, and/or monitor-less (i.e., headless) device,wherein access would be provided over a network interface connection.

Cryptographic units such as, but not limited to, microcontrollers,processors 3426, interfaces 3427, and/or devices 3428 may be attached,and/or communicate with the Provider controller. A MC68HC16microcontroller, commonly manufactured by Motorola Inc., may be used forand/or within cryptographic units. Equivalent microcontrollers and/orprocessors may also be used. The MC68HC16 microcontroller utilizes a16-bit multiply-and-accumulate instruction in the 16 MHz configurationand requires less than one second to perform a 512-bit RSA private keyoperation. Cryptographic units support the authentication ofcommunications from interacting agents, as well as allowing foranonymous transactions. Cryptographic units may also be configured aspart of CPU. Other commercially available specialized cryptographicprocessors include VLSI Technology's 33 MHz 6868 or SemaphoreCommunications' 40 MHz Roadrunner 184.

Memory

Generally, any mechanization and/or embodiment allowing a processor toaffect the storage and/or retrieval of information is regarded as memory3429. However, memory is a fungible technology and resource, thus, anynumber of memory embodiments may be employed in lieu of or in concertwith one another. It is to be understood that the Provider controllerand/or a computer systemization may employ various forms of memory 3429.For example, a computer systemization may be configured wherein thefunctionality of on-chip CPU memory (e.g., registers), RAM, ROM, and anyother storage devices are provided by a paper punch tape or paper punchcard mechanism; of course such an embodiment would result in anextremely slow rate of operation. In a typical configuration, memory3429 will include ROM 3406, RAM 3405, and a storage device 3414. Astorage device 3414 may be any conventional computer system storage.Storage devices may include a drum; a (fixed and/or removable) magneticdisk drive; a magneto-optical drive; an optical drive (i.e., CDROM/RAM/Recordable (R), ReWritable (RW), DVD R/RW, etc.); an array ofdevices (e.g., Redundant Array of Independent Disks (RAID)); and/orother devices of the like. Thus, a computer systemization generallyrequires and makes use of memory.

Component Collection

The memory 3429 may contain a collection of program and/or databasecomponents and/or data such as, but not limited to: operating systemcomponent(s) 3415 (operating system); information server component(s)3416 (information server); user interface component(s) 3417 (userinterface); Web browser component(s) 3418 (Web browser); database(s)3419; mail server component(s) 3421; mail client component(s) 3422;cryptographic server component(s) 3420 (cryptographic server); theProvider component(s) 3435; and/or the like (i.e., collectively acomponent collection). These components may be stored and accessed fromthe storage devices and/or from storage devices accessible through aninterface bus. Although non-conventional program components such asthose in the component collection, typically, are stored in a localstorage device 3414, they may also be loaded and/or stored in memorysuch as: peripheral devices, RAM, remote storage facilities through acommunications network, ROM, various forms of memory, and/or the like.

Operating System

The operating system component 3415 is an executable program componentfacilitating the operation of the Provider controller. Typically, theoperating system facilitates access of I/O, network interfaces,peripheral devices, storage devices, and/or the like. The operatingsystem may be a highly fault tolerant, scalable, and secure system suchas Apple Macintosh OS X (Server), AT&T Plan 9, Be OS, Linux, Unix,and/or the like operating systems. However, more limited and/or lesssecure operating systems also may be employed such as Apple MacintoshOS, Microsoft DOS, Microsoft Windows2000/2003/3.1/95/98/CE/Millenium/NT/Vista/XP (Server), Palm OS, and/orthe like. An operating system may communicate to and/or with othercomponents in a component collection, including itself, and/or the like.Most frequently, the operating system communicates with other programcomponents, user interfaces, and/or the like. For example, the operatingsystem may contain, communicate, generate, obtain, and/or provideprogram component, system, user, and/or data communications, requests,and/or responses. The operating system, once executed by the CPU, mayenable the interaction with communications networks, data, I/O,peripheral devices, program components, memory, user input devices,and/or the like. The operating system may provide communicationsprotocols that allow the Provider controller to communicate with otherentities through a communications network 3413. Various communicationprotocols may be used by the Provider controller as a subcarriertransport mechanism for interaction, such as, but not limited to:multicast, TCP/IP, UDP, unicast, and/or the like.

Information Server

An information server component 3416 is a stored program component thatis executed by a CPU. The information server may be a conventionalInternet information server such as, but not limited to Apache SoftwareFoundation's Apache, Microsoft's Internet Information Server, and/or thelike. The information server may allow for the execution of programcomponents through facilities such as Active Server Page (ASP), ActiveX,(ANSI) (Objective-) C (++), C#, Common Gateway Interface (CGI) scripts,Java, JavaScript, Practical Extraction Report Language (PERL), Python,WebObjects, and/or the like. The information server may support securecommunications protocols such as, but not limited to, File TransferProtocol (FTP); HyperText Transfer Protocol (HTTP); Secure HypertextTransfer Protocol (HTTPS), Secure Socket Layer (SSL), and/or the like.The information server provides results in the form of Web pages to Webbrowsers, and allows for the manipulated generation of the Web pagesthrough interaction with other program components. After a Domain NameSystem (DNS) resolution portion of an HTTP request is resolved to aparticular information server, the information server resolves requestsfor information at specified locations on the Provider controller basedon the remainder of the HTTP request. For example, a request such ashttp://123.124.125.126/myInformation.html might have the IP portion ofthe request “123.124.125.126” resolved by a DNS server to an informationserver at that IP address; that information server might in turn furtherparse the http request for the “/myInformation.html” portion of therequest and resolve it to a location in memory containing theinformation “myInformation.html.” Additionally, other informationserving protocols may be employed across various ports, e.g., FTPcommunications across port 21, and/or the like. An information servermay communicate to and/or with other components in a componentcollection, including itself, and/or facilities of the like. Mostfrequently, the information server communicates with the Providerdatabase 3419, operating systems, other program components, userinterfaces, Web browsers, and/or the like.

Access to the Provider database may be achieved through a number ofdatabase bridge mechanisms such as through scripting languages asenumerated below (e.g., CGI) and through inter-application communicationchannels as enumerated below (e.g., CORBA, WebObjects, etc.). Any datarequests through a Web browser are parsed through the bridge mechanisminto appropriate grammars as required by the Provider. In oneembodiment, the information server would provide a Web form accessibleby a Web browser. Entries made into supplied fields in the Web form aretagged as having been entered into the particular fields, and parsed assuch. The entered terms are then passed along with the field tags, whichact to instruct the parser to generate queries directed to appropriatetables and/or fields. In one embodiment, the parser may generate queriesin standard SQL by instantiating a search string with the properjoin/select commands based on the tagged text entries, wherein theresulting command is provided over the bridge mechanism to the Provideras a query. Upon generating query results from the query, the resultsare passed over the bridge mechanism, and may be parsed for formattingand generation of a new results Web page by the bridge mechanism. Such anew results Web page is then provided to the information server, whichmay supply it to the requesting Web browser.

Also, an information server may contain, communicate, generate, obtain,and/or provide program component, system, user, and/or datacommunications, requests, and/or responses.

User Interface

The function of computer interfaces in some respects is similar toautomobile operation interfaces. Automobile operation interface elementssuch as steering wheels, gearshifts, and speedometers facilitate theaccess, operation, and display of automobile resources, functionality,and status. Computer interaction interface elements such as check boxes,cursors, menus, scrollers, and windows (collectively and commonlyreferred to as widgets) similarly facilitate the access, operation, anddisplay of data and computer hardware and operating system resources,functionality, and status. Operation interfaces are commonly called userinterfaces. Graphical user interfaces (GUIs) such as the Apple MacintoshOperating System's Aqua, Microsoft's Windows XP, or Unix's X-Windowsprovide a baseline and means of accessing and displaying informationgraphically to users.

A user interface component 3417 is a stored program component that isexecuted by a CPU. The user interface may be a conventional graphic userinterface as provided by, with, and/or atop operating systems and/oroperating environments such as Apple Macintosh OS, e.g., Aqua, GNUSTEP,Microsoft Windows (NT/XP), Unix X Windows (KDE, Gnome, and/or the like),mythTV, and/or the like. The user interface may allow for the display,execution, interaction, manipulation, and/or operation of programcomponents and/or system facilities through textual and/or graphicalfacilities. The user interface provides a facility through which usersmay affect, interact, and/or operate a computer system. A user interfacemay communicate to and/or with other components in a componentcollection, including itself, and/or facilities of the like. Mostfrequently, the user interface communicates with operating systems,other program components, and/or the like. The user interface maycontain, communicate, generate, obtain, and/or provide programcomponent, system, user, and/or data communications, requests, and/orresponses.

Web Browser

A Web browser component 3418 is a stored program component that isexecuted by a CPU. The Web browser may be a conventional hypertextviewing application such as Microsoft Internet Explorer or NetscapeNavigator. Secure Web browsing may be supplied with 128 bit (or greater)encryption by way of HTTPS, SSL, and/or the like. Some Web browsersallow for the execution of program components through facilities such asJava, JavaScript, ActiveX, and/or the like. Web browsers and likeinformation access tools may be integrated into PDAs, cellulartelephones, and/or other mobile devices. A Web browser may communicateto and/or with other components in a component collection, includingitself, and/or facilities of the like. Most frequently, the Web browsercommunicates with information servers, operating systems, integratedprogram components (e.g., plug-ins), and/or the like; e.g., it maycontain, communicate, generate, obtain, and/or provide programcomponent, system, user, and/or data communications, requests, and/orresponses. Of course, in place of a Web browser and information server,a combined application may be developed to perform similar functions ofboth. The combined application would similarly affect the obtaining andthe provision of information to users, user agents, and/or the like fromthe Provider enabled nodes. The combined application may be nugatory onsystems employing standard Web browsers.

Mail Server

A mail server component 3421 is a stored program component that isexecuted by a CPU 3403. The mail server may be a conventional Internetmail server such as, but not limited to, sendmail, Microsoft Exchange,and/or the like. The mail server may allow for the execution of programcomponents through facilities such as ASP, ActiveX, (ANSI) (Objective-)C (++), CGI scripts, Java, JavaScript, PERL, pipes, Python, WebObjects,and/or the like. The mail server may support communications protocolssuch as, but not limited to: Internet message access protocol (IMAP),Microsoft Exchange, post office protocol (POP3), simple mail transferprotocol (SMTP), and/or the like. The mail server can route, forward,and process incoming and outgoing mail messages that have been sent,relayed and/or otherwise traversing through and/or to the Provider.

Access to the Provider mail may be achieved through a number of APIsoffered by the individual Web server components and/or the operatingsystem.

Also, a mail server may contain, communicate, generate, obtain, and/orprovide program component, system, user, and/or data communications,requests, information, and/or responses.

Mail Client

A mail client component 3422 is a stored program component that isexecuted by a CPU 3403. The mail client may be a conventional mailviewing application such as Apple Mail, Microsoft Entourage, MicrosoftOutlook, Microsoft Outlook Express, Mozilla Thunderbird, and/or thelike. Mail clients may support a number of transfer protocols, such as:IMAP, Microsoft Exchange, POP3, SMTP, and/or the like. A mail client maycommunicate to and/or with other components in a component collection,including itself, and/or facilities of the like. Most frequently, themail client communicates with mail servers, operating systems, othermail clients, and/or the like; e.g., it may contain, communicate,generate, obtain, and/or provide program component, system, user, and/ordata communications, requests, information, and/or responses. Generally,the mail client provides a facility to compose and transmit electronicmail messages.

Cryptographic Server

A cryptographic server component 3420 is a stored program component thatis executed by a CPU 3403, cryptographic processor 3426, cryptographicprocessor interface 3427, cryptographic processor device 3428, and/orthe like. Cryptographic processor interfaces will allow for expeditionof encryption and/or decryption requests by the cryptographic component;however, the cryptographic component, alternatively, may run on aconventional CPU. The cryptographic component allows for the encryptionand/or decryption of provided data. The cryptographic component allowsfor both symmetric and asymmetric (e.g., Pretty Good Protection (PGP))encryption and/or decryption. The cryptographic component may employcryptographic techniques such as, but not limited to: digitalcertificates (e.g., X.509 authentication framework), digital signatures,dual signatures, enveloping, password access protection, public keymanagement, and/or the like. The cryptographic component will facilitatenumerous (encryption and/or decryption) security protocols such as, butnot limited to: checksum, Data Encryption Standard (DES), EllipticalCurve Encryption (ECC), International Data Encryption Algorithm (IDEA),Message Digest 5 (MD5, which is a one way hash function), passwords,Rivest Cipher (RC5), Rijndael, RSA (which is an Internet encryption andauthentication system that uses an algorithm developed in 1977 by RonRivest, Adi Shamir, and Leonard Adleman), Secure Hash Algorithm (SHA),Secure Socket Layer (SSL), Secure Hypertext Transfer Protocol (HTTPS),and/or the like. Employing such encryption security protocols, theProvider may encrypt all incoming and/or outgoing communications and mayserve as node within a virtual private network (VPN) with a widercommunications network. The cryptographic component facilitates theprocess of “security authorization” whereby access to a resource isinhibited by a security protocol wherein the cryptographic componenteffects authorized access to the secured resource. In addition, thecryptographic component may provide unique identifiers of content, e.g.,employing an MD5 hash to obtain a unique signature for an digital audiofile. A cryptographic component may communicate to and/or with othercomponents in a component collection, including itself, and/orfacilities of the like. The cryptographic component supports encryptionschemes allowing for the secure transmission of information across acommunications network to enable the Provider component to engage insecure transactions if so desired. The cryptographic componentfacilitates the secure accessing of resources on the Provider andfacilitates the access of secured resources on remote systems; i.e., itmay act as a client and/or server of secured resources. Most frequently,the cryptographic component communicates with information servers,operating systems, other program components, and/or the like. Thecryptographic component may contain, communicate, generate, obtain,and/or provide program component, system, user, and/or datacommunications, requests, and/or responses.

The Provider Database

The Provider database component 3419 may be embodied in a database andits stored data. The database is a stored program component, which isexecuted by the CPU; the stored program component portion configuringthe CPU to process the stored data. The database may be a conventional,fault tolerant, relational, scalable, secure database such as Oracle orSybase. Relational databases are an extension of a flat file. Relationaldatabases consist of a series of related tables. The tables areinterconnected via a key field. Use of the key field allows thecombination of the tables by indexing against the key field; i.e., thekey fields act as dimensional pivot points for combining informationfrom various tables. Relationships generally identify links maintainedbetween tables by matching primary keys. Primary keys represent fieldsthat uniquely identify the rows of a table in a relational database.More precisely, they uniquely identify rows of a table on the “one” sideof a one-to-many relationship.

Alternatively, the Provider database may be implemented using variousstandard data-structures, such as an array, hash, (linked) list, struct,structured text file (e.g., XML), table, and/or the like. Suchdata-structures may be stored in memory and/or in (structured) files. Inanother alternative, an object-oriented database may be used, such asFrontier, ObjectStore, Poet, Zope, and/or the like. Object databases caninclude a number of object collections that are grouped and/or linkedtogether by common attributes; they may be related to other objectcollections by some common attributes. Object-oriented databases performsimilarly to relational databases with the exception that objects arenot just pieces of data but may have other types of functionalityencapsulated within a given object. If the Provider database isimplemented as a data-structure, the use of the Provider database may beintegrated into another component such as the Provider component 3435.Also, the database may be implemented as a mix of data-structures,objects, and relational structures. Databases may be consolidated and/ordistributed in countless variations through standard data processingtechniques. Portions of databases, e.g., tables, may be exported and/orimported and thus decentralized and/or integrated.

In one embodiment, the database component 3419 includes several tables3419 a-g. A documents table 3419 a includes fields such as, but notlimited to: document ID, document name, carrier ID, carrier name, timeto provide document, order to provide document, document class, and/orthe like. A payments table 3419 b includes fields such as, but notlimited to: payment ID, payment type, payment method, credit card name,credit card number, expiration date, check number, name on check,transaction success, payment amount, balance due, total premium, and/orthe like. A products table 3419 c includes fields such as, but notlimited to: product ID, product name, carrier ID, carrier name, inputs,expressions, table lookups, rules and/or rulesets, payments, documents,user interface specification, and/or the like. A rulesets table 3419 dincludes fields such as, but not limited to: ruleset ID, ruleset name,rules, and/or the like. A lookup tables table 3419 e includes fieldssuch as, but not limited to: table ID, table name, table values, and/orthe like. A cxCheetah table 3419 f includes fields such as, but notlimited to: event ID, event name, event probability, geocode, damageestimate, and/or the like. Further tables and/or data-structures 3419 gembodied within the system database are shown in detail in FIG. 34B.These and/or other tables may support and/or track multiple entityaccounts on the Provider controller.

In one embodiment, the Provider database may interact with otherdatabase systems. For example, employing a distributed database system,queries and data access by Provider modules may treat the combination ofthe Provider database and another database as a single database entity.

In one embodiment, user programs may contain various user interfaceprimitives, which may serve to update the Provider. Also, variousaccounts may require custom database tables depending upon theenvironments and the types of clients the Provider may need to serve. Itshould be noted that any unique fields may be designated as a key fieldthroughout. In an alternative embodiment, these tables have beendecentralized into their own databases and their respective databasecontrollers (i.e., individual database controllers for each of the abovetables). Employing standard data processing techniques, one may furtherdistribute the databases over several computer systemizations and/orstorage devices. Similarly, configurations of the decentralized databasecontrollers may be varied by consolidating and/or distributing thevarious database components 3419 a-g. The Provider may be configured tokeep track of various settings, inputs, and parameters via databasecontrollers.

The Provider database may communicate to and/or with other components ina component collection, including itself, and/or facilities of the like.Most frequently, the Provider database communicates with the Providercomponent, other program components, and/or the like. The database maycontain, retain, and provide information regarding other nodes and data.

The Provider Component

The Provider component 3435 is a stored program component that isexecuted by a CPU. The Provider affects accessing, obtaining and theprovision of information, services, transactions, and/or the like acrossvarious communications networks. As such, the Provider component enablesone to access, calculate, engage, exchange, generate, identify,instruct, match, process, search, serve, store, and/or facilitatetransactions to enable the assessment and/or rating of risks, theevaluation of logical and/or business rules, and the generation ofworkbooks, interfaces, and/or quotes for binding risks. In oneembodiment, the Provider component incorporates any and/or allcombinations of the aspects of the Provider that were discussed in theprevious figures and appendices.

The Provider component enabling access of information between nodes maybe developed by employing standard development tools such as, but notlimited to: (ANSI) (Objective-) C (++), Apache components, binaryexecutables, database adapters, Java, JavaScript, mapping tools,procedural and object oriented development tools, PERL, Python, shellscripts, SQL commands, web application server extensions, WebObjects,and/or the like. In one embodiment, the Provider server employs acryptographic server to encrypt and decrypt communications. The Providercomponent may communicate to and/or with other components in a componentcollection, including itself, and/or facilities of the like. Mostfrequently, the Provider component communicates with the Providerdatabase, operating systems, other program components, and/or the like.The Provider may contain, communicate, generate, obtain, and/or provideprogram component, system, user, and/or data communications, requests,and/or responses.

Distributed Provider

The structure and/or operation of any of the Provider node controllercomponents may be combined, consolidated, and/or distributed in anynumber of ways to facilitate development and/or deployment. Similarly,the component collection may be combined in any number of ways tofacilitate deployment and/or development. To accomplish this, one mayintegrate the components into a common code base or in a facility thatcan dynamically load the components on demand in an integrated fashion.

The component collection may be consolidated and/or distributed incountless variations through standard data processing and/or developmenttechniques. Multiple instances of any one of the program components inthe program component collection may be instantiated on a single node,and/or across numerous nodes to improve performance throughload-balancing and/or data-processing techniques. Furthermore, singleinstances may also be distributed across multiple controllers and/orstorage devices; e.g., databases. All program component instances andcontrollers working in concert may do so through standard dataprocessing communication techniques.

The configuration of the Provider controller will depend on the contextof system deployment. Factors such as, but not limited to, the budget,capacity, location, and/or use of the underlying hardware resources mayaffect deployment requirements and configuration. Regardless of if theconfiguration results in more consolidated and/or integrated programcomponents, results in a more distributed series of program components,and/or results in some combination between a consolidated anddistributed configuration, data may be communicated, obtained, and/orprovided. Instances of components consolidated into a common code basefrom the program component collection may communicate, obtain, and/orprovide data. This may be accomplished through intra-application dataprocessing communication techniques such as, but not limited to: datareferencing (e.g., pointers), internal messaging, object instancevariable communication, shared memory space, variable passing, and/orthe like.

If component collection components are discrete, separate, and/orexternal to one another, then communicating, obtaining, and/or providingdata with and/or to other component components may be accomplishedthrough inter-application data processing communication techniques suchas, but not limited to: Application Program Interfaces (API) informationpassage; (distributed) Component Object Model ((D)COM), (Distributed)Object Linking and Embedding ((D)OLE), and/or the like, Common ObjectRequest Broker Architecture (CORBA), process pipes, shared files, and/orthe like. Messages sent between discrete component components forinter-application communication or within memory spaces of a singularcomponent for intra-application communication may be facilitated throughthe creation and parsing of a grammar. A grammar may be developed byusing standard development tools such as lex, yacc, XML, and/or thelike, which allow for grammar generation and parsing functionality,which in turn may form the basis of communication messages within andbetween components. Again, the configuration will depend upon thecontext of system deployment.

Among the embodiments envisioned as being within the scope of thepresent invention are the following:

-   -   1. A processor-implemented system to generate a reinsurance        product quote, comprising:    -   a reinsurance logic set database, further, including:        -   reinsurance logic set data-structures including logic to            evaluate reinsurance related conditions;    -   a reinsurance product data-structure database, further,        including:        -   reinsurance product data-structures that reference related            reinsurance logic set data-structures and that include            interpretable logic usable by a reinsurance quoting            component to generate reinsurance product specific quotes;    -   a reinsurance quoting component devoid of specific reinsurance        product evaluative components such that the quoting component by        itself is incapable of providing quotes on reinsurance products,        further, including:        -   a reinsurance product data-structure loading mechanism to            load reinsurance product data-structures,        -   a reinsurance product data-structure interpreter to            interpret loaded reinsurance product data-structures and            generate reinsurance product specific quotes.    -   2. The system of claim 1, wherein the reinsurance product        data-structures comprise XML documents.    -   3. The system of claim 1, further comprising:        -   a reinsurance risk assessment component capable of            interpreting the reinsurance product data-structure and            capable of providing a risk assessment back to the            reinsurance quoting component.    -   4. The system of claim 1, further comprising:        -   a user interface;    -   5. The system of claim 4, wherein the reinsurance product        data-structure loading mechanism is responsive to reinsurance        product selections received from the user interface.    -   6. The system of claim 4, wherein the generated reinsurance        product specific quotes are displayed via the user interface.    -   7. The system of claim 1, wherein the reinsurance        product-structures further comprise:        -   a set of base criteria, comprising a reinsurance product            identifier; and        -   a plurality of risk characteristic input fields.    -   8. The system of claim 7, wherein the reinsurance product        identifier includes an insurance carrier identifier.    -   9. The system of claim 7, wherein the reinsurance        product-structures further comprise:        -   at least one expression comprising a mathematical operation            to be performed on at least one risk characteristic received            via a subset of the plurality of risk characteristic input            fields;        -   a set of rule calls, specifying elements of a ruleset            database; and        -   a set of lookup table calls, specifying elements of a lookup            tables database.    -   10. The system of claim 9, wherein the reinsurance        product-structures further comprise:        -   a set of insurance product documents, including a document            delivery order.    -   11. The system of claim 10, wherein the reinsurance        product-structures further comprise:        -   a product payment schedule.    -   12. A processor-implemented method for generating an insurance        quote, comprising:        -   receiving a risk rater selection;        -   retrieving a risk rater data-structure corresponding to the            risk rater selection from a risk rater database;        -   providing a plurality of risk characteristic input fields            based on instructions embodied in the risk rater            data-structure;        -   receiving a plurality of risk characteristics representing            at least one insurable risk as inputs to the risk            characteristic input fields;        -   passing a first subset of the plurality of risk            characteristics to a risk scoring module, the risk scoring            module configured to generate at least one financial metric            based on input risk characteristics;        -   receiving at least one financial metric based on the first            subset of the plurality of risk characteristics from the            risk scoring module; and        -   generating a quote indicative of a price for insuring at            least one insurable risk based on the at least one financial            metric.    -   13. The method of claim 12, further comprising:        -   querying a set of rule calls based on instructions embodied            in the risk rater data-structure;        -   passing a second subset of the plurality of risk            characteristics to a rule evaluation module;        -   receiving a set of rule evaluations corresponding to the set            of rule calls based on the second subset of the plurality of            risk characteristics; and        -   wherein the generating a quote indicative of a price is            further based on the set of rule evaluations.    -   14. The method of claim 13, wherein the second subset of the        plurality of risk characteristics is the same as the first        subset of the plurality of risk characteristics.    -   15. The method of claim 13, further comprising:        -   querying a set of lookup table calls based on instructions            embodied in the risk rater data-structure;        -   retrieving table data values from lookup tables based on the            set of lookup table calls; and        -   wherein the generating a quote indicative of a price is            further based on the table data values.    -   16. The method of claim 12, further comprising:        -   querying a set of lookup table calls based on instructions            embodied in the risk rater data-structure;        -   retrieving table data values from lookup tables based on the            set of lookup table calls; and        -   wherein the generating a quote indicative of a price is            further based on the table data values.    -   17. The method of claim 12, wherein the risk rater        data-structure comprises an XML document.    -   18. The method of claim 12, wherein the at least one insurable        risk comprises a property and the quote indicative of a price        for insuring at least one insurable risk is directed to a        property casualty reinsurance product.    -   19. The method of claim 12, wherein the risk rater selection        comprises specification of a risk rater base criteria.    -   20. The method of claim 19, wherein the risk rater base criteria        comprises a risk rater identifier.    -   21. The method of claim 19, wherein the risk rater base criteria        comprises an insurance carrier identifier.    -   22. An apparatus for generating an insurance quote, comprising:    -   a memory;    -   a processor disposed in communication with said memory, and        configured to issue a plurality of instructions stored in the        memory, wherein the instructions issue signals to:        -   receive a risk rater selection;        -   retrieve a risk rater data-structure corresponding to the            risk rater selection from a risk rater database;        -   provide a plurality of risk characteristic input fields            based on instructions embodied in the risk rater            data-structure;        -   receive a plurality of risk characteristics representing at            least one insurable risk as inputs to the risk            characteristic input fields;        -   pass a first subset of the plurality of risk characteristics            to a risk scoring module, the risk scoring module configured            to generate at least one financial metric based on input            risk characteristics;        -   receive at least one financial metric based on the first            subset of the plurality of risk characteristics from the            risk scoring module; and        -   generate a quote indicative of a price for insuring at least            one insurable risk based on the at least one financial            metric.    -   23. The apparatus of claim 22, further comprising:        -   query a set of rule calls based on instructions embodied in            the risk rater data-structure;        -   pass a second subset of the plurality of risk            characteristics to a rule evaluation module;        -   receive a set of rule evaluations corresponding to the set            of rule calls based on the second subset of the plurality of            risk characteristics; and        -   wherein the generating a quote indicative of a price is            further based on the set of rule evaluations.    -   24. The apparatus of claim 23, wherein the second subset of the        plurality of risk characteristics is the same as the first        subset of the plurality of risk characteristics.    -   25. The apparatus of claim 23, further comprising:        -   query a set of lookup table calls based on instructions            embodied in the risk rater data-structure;        -   retrieve table data values from lookup tables based on the            set of lookup table calls; and        -   wherein the generating a quote indicative of a price is            further based on the table data values.    -   26. The apparatus of claim 22, further comprising:        -   query a set of lookup table calls based on instructions            embodied in the risk rater data-structure;        -   retrieve table data values from lookup tables based on the            set of lookup table calls; and        -   wherein the generating a quote indicative of a price is            further based on the table data values.    -   27. The apparatus of claim 22, wherein the risk rater        data-structure comprises an XML document.    -   28. The apparatus of claim 22, wherein the at least one        insurable risk comprises a property and the quote indicative of        a price for insuring at least one insurable risk is directed to        a property casualty reinsurance product.    -   29. The apparatus of claim 22, wherein the risk rater selection        comprises specification of a risk rater base criteria.    -   30. The apparatus of claim 29, wherein the risk rater base        criteria comprises a risk rater identifier.    -   31. The apparatus of claim 29, wherein the risk rater base        criteria comprises an insurance carrier identifier.    -   32. A system for generating an insurance quote, comprising:        -   means to receive a risk rater selection;        -   means to retrieve a risk rater data-structure corresponding            to the risk rater selection from a risk rater database;        -   means to provide a plurality of risk characteristic input            fields based on instructions embodied in the risk rater            data-structure;        -   means to receive a plurality of risk characteristics            representing at least one insurable risk as inputs to the            risk characteristic input fields;        -   means to pass a first subset of the plurality of risk            characteristics to a risk scoring module, the risk scoring            module configured to generate at least one financial metric            based on input risk characteristics;        -   means to receive at least one financial metric based on the            first subset of the plurality of risk characteristics from            the risk scoring module; and        -   means to generate a quote indicative of a price for insuring            at least one insurable risk based on the at least one            financial metric.    -   33. The system of claim 32, further comprising:        -   means to query a set of rule calls based on instructions            embodied in the risk rater data-structure;        -   means to pass a second subset of the plurality of risk            characteristics to a rule evaluation module;        -   means to receive a set of rule evaluations corresponding to            the set of rule calls based on the second subset of the            plurality of risk characteristics; and        -   wherein the generating a quote indicative of a price is            further based on the set of rule evaluations.    -   34. The system of claim 33, wherein the second subset of the        plurality of risk characteristics is the same as the first        subset of the plurality of risk characteristics.    -   35. The system of claim 33, further comprising:        -   means to query a set of lookup table calls based on            instructions embodied in the risk rater data-structure;        -   means to retrieve table data values from lookup tables based            on the set of lookup table calls; and        -   wherein the generating a quote indicative of a price is            further based on the table data values.    -   36. The system of claim 32, further comprising:        -   means to query a set of lookup table calls based on            instructions embodied in the risk rater data-structure;        -   means to retrieve table data values from lookup tables based            on the set of lookup table calls; and        -   wherein the generating a quote indicative of a price is            further based on the table data values.    -   37. The system of claim 32, wherein the risk rater        data-structure comprises an XML document.    -   38. The system of claim 32, wherein the at least one insurable        risk comprises a property and the quote indicative of a price        for insuring at least one insurable risk is directed to a        property casualty reinsurance product.    -   39. The system of claim 32, wherein the risk rater selection        comprises specification of a risk rater base criteria.    -   40. The system of claim 39, wherein the risk rater base criteria        comprises a risk rater identifier.    -   41. The system of claim 39, wherein the risk rater base criteria        comprises an insurance carrier identifier.    -   42. A medium readable by a processor to generate an insurance        quote, comprising:    -   instruction signals in the processor readable medium, wherein        the instruction signals are issuable by the processor to:        -   receive a risk rater selection;        -   retrieve a risk rater data-structure corresponding to the            risk rater selection from a risk rater database;        -   provide a plurality of risk characteristic input fields            based on instructions embodied in the risk rater            data-structure;        -   receive a plurality of risk characteristics representing at            least one insurable risk as inputs to the risk            characteristic input fields;        -   pass a first subset of the plurality of risk characteristics            to a risk scoring module, the risk scoring module configured            to generate at least one financial metric based on input            risk characteristics;        -   receive at least one financial metric based on the first            subset of the plurality of risk characteristics from the            risk scoring module; and        -   generate a quote indicative of a price for insuring at least            one insurable risk based on the at least one financial            metric.    -   43. The medium of claim 42, further comprising:        -   query a set of rule calls based on instructions embodied in            the risk rater data-structure;        -   pass a second subset of the plurality of risk            characteristics to a rule evaluation module;        -   receive a set of rule evaluations corresponding to the set            of rule calls based on the second subset of the plurality of            risk characteristics; and        -   wherein the generating a quote indicative of a price is            further based on the set of rule evaluations.    -   44. The medium of claim 43, wherein the second subset of the        plurality of risk characteristics is the same as the first        subset of the plurality of risk characteristics.    -   45. The medium of claim 43, further comprising:        -   query a set of lookup table calls based on instructions            embodied in the risk rater data-structure;        -   retrieve table data values from lookup tables based on the            set of lookup table calls; and        -   wherein the generating a quote indicative of a price is            further based on the table data values.    -   46. The medium of claim 42, further comprising:        -   query a set of lookup table calls based on instructions            embodied in the risk rater data-structure;        -   retrieve table data values from lookup tables based on the            set of lookup table calls; and        -   wherein the generating a quote indicative of a price is            further based on the table data values.    -   47. The medium of claim 42, wherein the risk rater        data-structure comprises an XML document.    -   48. The medium of claim 42, wherein the at least one insurable        risk comprises a property and the quote indicative of a price        for insuring at least one insurable risk is directed to a        property casualty reinsurance product.    -   49. The medium of claim 42, wherein the risk rater selection        comprises specification of a risk rater base criteria.    -   50. The medium of claim 49, wherein the risk rater base criteria        comprises a risk rater identifier.    -   51. The medium of claim 49, wherein the risk rater base criteria        comprises an insurance carrier identifier.    -   1. A risk rater data-structure, embodied in an electronic        storage medium, comprising:        -   a set of risk rater base criteria, comprising at least a            unique risk rater identifier;        -   a plurality of risk characteristic input fields;        -   at least one expression comprising a mathematical operation            to be performed on at least one risk characteristic received            via a subset of the plurality of risk characteristic input            fields;        -   a set of rule calls, specifying elements of a ruleset            database; and        -   a set of lookup table calls, specifying elements of a lookup            tables database.    -   2. The data-structure of claim 1, wherein the mathematical        operation is further performed on data retrieved via the set of        lookup table calls.    -   3. The data-structure of claim 1, wherein the mathematical        operation yields a financial metric associated with a candidate        risk.    -   4. The data-structure of claim 3 wherein the financial metric        comprises a quote reflecting the price for insuring the        candidate risk.    -   5. The data-structure of claim 1, wherein the set of rule calls        include at least one call to a rule referencing at least one        risk characteristic.    -   6. The data-structure of claim 1, wherein the set of rule calls        include at least one call to a rule referencing data retrieved        via the set of lookup table calls.    -   7. The data-structure of claim 1, wherein the data-structure        comprises an XML document.    -   8. The data-structure of claim 1, wherein the set of risk rater        base criteria further comprises an insurance carrier identifier.    -   9. The data-structure of claim 1, wherein the plurality of risk        characteristic fields admit characteristics of a property.    -   10. The data-structure of claim 9, wherein the characteristics        of a property include a geocode.    -   11. The data-structure of claim 9, wherein the characteristics        of a property include construction characteristics.    -   12. The data-structure of claim 1, wherein the subset of the        plurality of the risk characteristic input fields comprises the        entire plurality of the risk characteristic input fields.    -   1. A processor-implemented method to generate a reinsurance        product data-structure, comprising:        -   providing a product generating user interface with widgets            indicative of reinsurance product characteristics for            display;        -   receiving user actuations of widgets indicative of            reinsurance product characteristics via the product            generating user interface;        -   receiving user specifications of relationships and logic on            and between the reinsurance product characteristics;        -   receiving a user specification for an identifying base            characteristic;        -   generating a reinsurance product data-structure from the            user actuations of the widgets indicative of reinsurance            product characteristics and the specifications of            relationships and logic on and between the reinsurance            product characteristics; and        -   storing the reinsurance product data-structure in a            reinsurance product database.    -   2. The method of claim 1, wherein the user actuations of widgets        define a plurality of risk characteristic input fields.    -   3. The method of claim 2, wherein the reinsurance product        data-structure is directed to property casualty insurance and        the risk characteristic input fields include information        descriptive of a property.    -   4. The method of claim 3, wherein the information descriptive of        a property includes a geocode.    -   5. The method of claim 3, wherein the information descriptive of        a property includes construction characteristics.    -   6. The method of claim 1, wherein the user actuations of widgets        define a set of rule calls to a rulesets database.    -   7. The method of claim 1, wherein the user actuations of widgets        define a set of lookup table calls to a lookup tables database.    -   8. The method of claim 1, wherein the user actuations of widgets        define at least one expression comprising a mathematical        calculation configured to establish parameters used in        generating a quote indicative of the price for insuring an        insurable risk.    -   9. The method of claim 1, wherein the user actuations of widgets        define set of insurance product documents, including a document        delivery order.    -   10. The method of claim 1, wherein the user actuations of        widgets define a product payment schedule.    -   11. The method of claim 1, wherein the identifying base criteria        include at least a reinsurance product name.    -   12. The method of claim 1, wherein the identifying base criteria        include at least an insurance carrier identification.    -   13. The method of claim 1, wherein the reinsurance product        data-structure comprises an XML document.    -   14. The method of claim 1, wherein the logic on and between        reinsurance product characteristics comprises a block on binding        an insurance policy for reinsurance product characteristics that        meet a set of criteria.    -   15. The method of claim 1, wherein the logic on and between        reinsurance product characteristics comprises a notification        flag for reinsurance product characteristics that meet a set of        criteria.    -   16. A processor-implemented method to generate a user interface        for a risk rater builder, comprising:    -   providing interface elements configured to receive specification        of a plurality of risk rater characteristics, including:        -   at least one risk rater base criterion;        -   a plurality of risk characteristic input fields;        -   at least one expression comprising a mathematical            calculation performed on at an input to at least one of the            plurality of risk characteristic input fields; and        -   at least one call to a rule from a rules database.    -   17. The method of 16, further comprising:        -   at least one reference to a lookup table comprising a            collection of data values.    -   18. The method of 17, wherein the mathematical calculation is        further performed on data collected by the reference to a lookup        table.    -   19. The method of claim 16, wherein the at least one risk rater        base criterion comprises a risk rater identifier.    -   20. The method of claim 16, wherein the at least one risk rater        base criterion comprises an insurance carrier identifier.    -   21. The method of claim 16, wherein the risk rater is directed        to property casualty insurance and the plurality of risk        characteristic input fields include fields directed to        characteristics of a property.    -   22. The method of claim 21, wherein the characteristics of a        property include a geocode.    -   23. The method of claim 21, wherein the characteristics of a        property include construction characteristics.    -   24. The method of claim 16, wherein the interface elements are        provided within an XML document.    -   25. The method of claim 16, further comprising:        -   a set of insurance product documents, including a document            delivery order.    -   26. The method of claim 16, further comprising:        -   a product payment schedule.    -   27. An apparatus to generate a reinsurance product        data-structure, comprising:    -   a memory;    -   a processor disposed in communication with said memory, and        configured to issue a plurality of instructions stored in the        memory, wherein the instructions issue signals to:        -   provide a product generating user interface with widgets            indicative of reinsurance product characteristics for            display;        -   receive user actuations of widgets indicative of reinsurance            product characteristics via the product generating user            interface;        -   receive user specifications of relationships and logic on            and between the reinsurance product characteristics;        -   receive a user specification for an identifying base            characteristic;        -   generate a reinsurance product data-structure from the user            actuations of the widgets indicative of reinsurance product            characteristics and the specifications of relationships and            logic on and between the reinsurance product            characteristics; and        -   store the reinsurance product data-structure in a            reinsurance product database.    -   28. The apparatus of claim 27, wherein the user actuations of        widgets define a plurality of risk characteristic input fields.    -   29. The apparatus of claim 28, wherein the reinsurance product        data-structure is directed to property casualty insurance and        the risk characteristic input fields include information        descriptive of a property.    -   30. The apparatus of claim 29, wherein the information        descriptive of a property includes a geocode.    -   31. The apparatus of claim 29, wherein the information        descriptive of a property includes construction characteristics.    -   32. The apparatus of claim 27, wherein the user actuations of        widgets define a set of rule calls to a rulesets database.    -   33. The apparatus of claim 27, wherein the user actuations of        widgets define a set of lookup table calls to a lookup tables        database.    -   34. The apparatus of claim 27, wherein the user actuations of        widgets define at least one expression comprising a mathematical        calculation configured to establish parameters used in        generating a quote indicative of the price for insuring an        insurable risk.    -   35. The apparatus of claim 27, wherein the user actuations of        widgets define set of insurance product documents, including a        document delivery order.    -   36. The apparatus of claim 27, wherein the user actuations of        widgets define a product payment schedule.    -   37. The apparatus of claim 27, wherein the identifying base        criteria include at least a reinsurance product name.    -   38. The apparatus of claim 27, wherein the identifying base        criteria include at least an insurance carrier identification.    -   39. The apparatus of claim 27, wherein the reinsurance product        data-structure comprises an XML document.    -   40. The apparatus of claim 27, wherein the logic on and between        reinsurance product characteristics comprises a block on binding        an insurance policy for reinsurance product characteristics that        meet a set of criteria.    -   41. The apparatus of claim 27, wherein the logic on and between        reinsurance product characteristics comprises a notification        flag for reinsurance product characteristics that meet a set of        criteria.    -   42. An apparatus to generate a user interface for a risk rater        builder, comprising:        -   a memory;        -   a processor disposed in communication with said memory, and            configured to issue a plurality of instructions stored in            the memory, wherein the instructions issue signals to:        -   provide interface elements configured to receive            specification of a plurality of risk rater characteristics,            including:        -   at least one risk rater base criterion;        -   a plurality of risk characteristic input fields;        -   at least one expression comprising a mathematical            calculation performed on at an input to at least one of the            plurality of risk characteristic input fields; and        -   at least one call to a rule from a rules database.    -   43. The apparatus of 42, further comprising:        -   at least one reference to a lookup table comprising a            collection of data values.    -   44. The apparatus of 43, wherein the mathematical calculation is        further performed on data collected by the reference to a lookup        table.    -   45. The apparatus of claim 42, wherein the at least one risk        rater base criterion comprises a risk rater identifier.    -   46. The apparatus of claim 42, wherein the at least one risk        rater base criterion comprises an insurance carrier identifier.    -   47. The apparatus of claim 42, wherein the risk rater is        directed to property casualty insurance and the plurality of        risk characteristic input fields include fields directed to        characteristics of a property.    -   48. The apparatus of claim 47, wherein the characteristics of a        property include a geocode.    -   49. The apparatus of claim 47, wherein the characteristics of a        property include construction characteristics.    -   50. The apparatus of claim 42, wherein the interface elements        are provided within an XML document.    -   51. The apparatus of claim 42, further comprising:        -   a set of insurance product documents, including a document            delivery order.    -   52. The apparatus of claim 42, further comprising:        -   a product payment schedule.    -   53. A system to generate a reinsurance product data-structure,        comprising:        -   means to provide a product generating user interface with            widgets indicative of reinsurance product characteristics            for display;        -   means to receive user actuations of widgets indicative of            reinsurance product characteristics via the product            generating user interface;        -   means to receive user specifications of relationships and            logic on and between the reinsurance product            characteristics;        -   means to receive a user specification for an identifying            base characteristic;        -   means to generate a reinsurance product data-structure from            the user actuations of the widgets indicative of reinsurance            product characteristics and the specifications of            relationships and logic on and between the reinsurance            product characteristics; and        -   means to store the reinsurance product data-structure in a            reinsurance product database.    -   54. The system of claim 53, wherein the user actuations of        widgets define a plurality of risk characteristic input fields.    -   55. The system of claim 54, wherein the reinsurance product        data-structure is directed to property casualty insurance and        the risk characteristic input fields include information        descriptive of a property.    -   56. The system of claim 55, wherein the information descriptive        of a property includes a geocode.    -   57. The system of claim 55, wherein the information descriptive        of a property includes construction characteristics.    -   58. The system of claim 53, wherein the user actuations of        widgets define a set of rule calls to a rulesets database.    -   59. The system of claim 53, wherein the user actuations of        widgets define a set of lookup table calls to a lookup tables        database.    -   60. The system of claim 53, wherein the user actuations of        widgets define at least one expression comprising a mathematical        calculation configured to establish parameters used in        generating a quote indicative of the price for insuring an        insurable risk.    -   61. The system of claim 53, wherein the user actuations of        widgets define set of insurance product documents, including a        document delivery order.    -   62. The system of claim 53, wherein the user actuations of        widgets define a product payment schedule.    -   63. The system of claim 53, wherein the identifying base        criteria include at least a reinsurance product name.    -   64. The system of claim 53, wherein the identifying base        criteria include at least an insurance carrier identification.    -   65. The system of claim 53, wherein the reinsurance product        data-structure comprises an XML document.    -   66. The system of claim 53, wherein the logic on and between        reinsurance product characteristics comprises a block on binding        an insurance policy for reinsurance product characteristics that        meet a set of criteria.    -   67. The system of claim 53, wherein the logic on and between        reinsurance product characteristics comprises a notification        flag for reinsurance product characteristics that meet a set of        criteria.    -   68. A system to generate a user interface for a risk rater        builder, comprising:    -   means to provide interface elements configured to receive        specification of a plurality of risk rater characteristics,        including:        -   at least one risk rater base criterion;        -   a plurality of risk characteristic input fields;        -   at least one expression comprising a mathematical            calculation performed on at an input to at least one of the            plurality of risk characteristic input fields; and        -   at least one call to a rule from a rules database.    -   69. The system of 68, further comprising:        -   at least one reference to a lookup table comprising a            collection of data values.    -   70. The system of 69, wherein the mathematical calculation is        further performed on data collected by the reference to a lookup        table.    -   71. The system of claim 68, wherein the at least one risk rater        base criterion comprises a risk rater identifier.    -   72. The system of claim 68, wherein the at least one risk rater        base criterion comprises an insurance carrier identifier.    -   73. The system of claim 68, wherein the risk rater is directed        to property casualty insurance and the plurality of risk        characteristic input fields include fields directed to        characteristics of a property.    -   74. The system of claim 73, wherein the characteristics of a        property include a geocode.    -   75. The system of claim 73, wherein the characteristics of a        property include construction characteristics.    -   76. The system of claim 68, wherein the interface elements are        provided within an XML document.    -   77. The system of claim 68, further comprising:        -   a set of insurance product documents, including a document            delivery order.    -   78. The system of claim 68, further comprising:        -   a product payment schedule.    -   79. A medium readable by a processor to generate a reinsurance        product data-structure, comprising:    -   instruction signals in the processor readable medium, wherein        the instructions are issuable by the processor to:        -   provide a product generating user interface with widgets            indicative of reinsurance product characteristics for            display;        -   receive user actuations of widgets indicative of reinsurance            product characteristics via the product generating user            interface;        -   receive user specifications of relationships and logic on            and between the reinsurance product characteristics;        -   receive a user specification for an identifying base            characteristic;        -   generate a reinsurance product data-structure from the user            actuations of the widgets indicative of reinsurance product            characteristics and the specifications of relationships and            logic on and between the reinsurance product            characteristics; and        -   store the reinsurance product data-structure in a            reinsurance product database.    -   80. The medium of claim 79, wherein the user actuations of        widgets define a plurality of risk characteristic input fields.    -   81. The medium of claim 80, wherein the reinsurance product        data-structure is directed to property casualty insurance and        the risk characteristic input fields include information        descriptive of a property.    -   82. The medium of claim 81, wherein the information descriptive        of a property includes a geocode.    -   83. The medium of claim 81, wherein the information descriptive        of a property includes construction characteristics.    -   84. The medium of claim 79, wherein the user actuations of        widgets define a set of rule calls to a rulesets database.    -   85. The medium of claim 79, wherein the user actuations of        widgets define a set of lookup table calls to a lookup tables        database.    -   86. The medium of claim 79, wherein the user actuations of        widgets define at least one expression comprising a mathematical        calculation configured to establish parameters used in        generating a quote indicative of the price for insuring an        insurable risk.    -   87. The medium of claim 79, wherein the user actuations of        widgets define set of insurance product documents, including a        document delivery order.    -   88. The medium of claim 79, wherein the user actuations of        widgets define a product payment schedule.    -   89. The medium of claim 79, wherein the identifying base        criteria include at least a reinsurance product name.    -   90. The medium of claim 79, wherein the identifying base        criteria include at least an insurance carrier identification.    -   91. The medium of claim 79, wherein the reinsurance product        data-structure comprises an XML document.    -   92. The medium of claim 79, wherein the logic on and between        reinsurance product characteristics comprises a block on binding        an insurance policy for reinsurance product characteristics that        meet a set of criteria.    -   93. The medium of claim 79, wherein the logic on and between        reinsurance product characteristics comprises a notification        flag for reinsurance product characteristics that meet a set of        criteria.    -   94. A medium readable by a processor to generate a user        interface for a risk rater builder, comprising:    -   instruction signals in the processor readable medium, wherein        the instruction signals are issuable by the processor to provide        interface elements configured to receive specification of a        plurality of risk rater characteristics, including:        -   at least one risk rater base criterion;        -   a plurality of risk characteristic input fields;        -   at least one expression comprising a mathematical            calculation performed on at an input to at least one of the            plurality of risk characteristic input fields; and        -   at least one call to a rule from a rules database.    -   95. The medium of 94, further comprising:        -   at least one reference to a lookup table comprising a            collection of data values.    -   96. The medium of 95, wherein the mathematical calculation is        further performed on data collected by the reference to a lookup        table.    -   97. The medium of claim 94, wherein the at least one risk rater        base criterion comprises a risk rater identifier.    -   98. The medium of claim 94, wherein the at least one risk rater        base criterion comprises an insurance carrier identifier.    -   99. The medium of claim 94, wherein the risk rater is directed        to property casualty insurance and the plurality of risk        characteristic input fields include fields directed to        characteristics of a property.    -   100. The medium of claim 99, wherein the characteristics of a        property include a geocode.    -   101. The medium of claim 99, wherein the characteristics of a        property include construction characteristics.    -   102. The medium of claim 94, wherein the interface elements are        provided within an XML document.    -   103. The medium of claim 94, further comprising:        -   a set of insurance product documents, including a document            delivery order.    -   104. The medium of claim 94, further comprising:        -   a product payment schedule.    -   1. A processor-implemented method to generate a reinsurance        product quote, comprising:        -   reading a reinsurance product database for reinsurance            product identifying base criteria;        -   providing a reinsurance product selecting interface to            display the reinsurance product identifying base criteria            and allow a user to select among the reinsurance product            identifying base criteria;        -   loading a reinsurance product data-structure from the            reinsurance product database based on a users selections            from the reinsurance product selecting interface;        -   reading quote specific data-structure elements from the            reinsurance product data-structure;        -   generating a reinsurance quote user interface from the quote            specific data-structure elements;        -   providing a reinsurance quote user interface to a user;        -   receiving user specifications via the reinsurance quote user            interface;        -   retrieving logic sets specified by the reinsurance product            data-structure;        -   applying logic sets to user specifications; and        -   providing a reinsurance product specific quote to the user            if the user's specifications were acceptable based on the            applying logic sets to user specifications.    -   2. The method of claim 1, further, comprising:    -   prior to providing a reinsurance product specific quote:        -   providing user specifications and elements of the            reinsurance product data-structure to a risk assessment            component;        -   obtaining risk assessment evaluation information from the            risk assessment component;    -   wherein the product specific quote incorporates the risk        assessment evaluation information from the risk assessment        component.    -   3. The method of claim 2, wherein the risk assessment evaluation        information comprises a set of financial metrics determined        based on the user's specifications.    -   4. The method of claim 3, wherein the financial metrics comprise        a profit margin.    -   5. The method of claim 2, wherein the risk assessment component        passes the user specifications and elements of the reinsurance        product data-structure to an external event loss table        generator, receives an event loss table therefrom, and generates        risk assessment evaluation information based on elements of the        event loss table.    -   6. The method of claim 5, wherein the user specifications and        elements of the reinsurance product data-structure are passed to        the external event loss table generator via an interface module.    -   7. The method of claim 6, wherein the interface module further        comprises components configured to translate risk assessment        component coded information to external event loss table        generator coded information.    -   8. The method of claim 2, wherein the risk assessment component        queries an event loss table database based on the user        specifications and elements of the reinsurance product        data-structure, receives an event loss table values therefrom,        and generates risk assessment evaluation information based on        the event loss table values.    -   9. The method of claim 8, wherein the user specifications and        elements of the reinsurance product data-structure are passed to        the event loss table database via an interface module.    -   10. The method of claim 9, wherein the interface module further        comprises components configured to translate risk assessment        component coded information to event loss table database coded        information.    -   11. The method of claim 1, wherein the reinsurance product        data-structure comprises an XML document.    -   12. The method of claim 1, wherein the user specifications        comprise information descriptive of an insurable risk.    -   13. The method of claim 12, wherein the insurable risk is a        property and the reinsurance product specific quote is directed        to a property casualty reinsurance product.    -   14. The method of claim 13, wherein the user specifications        comprise a property geocode.    -   15. The method of claim 13, wherein the user specifications        comprise property construction characteristics.    -   16. The method of claim 1, wherein the identifying base criteria        comprise an insurance carrier identifier.    -   17. The method of claim 1, wherein the quote specific        data-structure elements comprise a plurality of risk        characteristic input fields.    -   18. The method of claim 17, wherein the risk product specific        quote is directed to a property casualty insurance product and        the risk characteristic input fields admit information        descriptive of a property.    -   19. The method of claim 1, wherein the quote specific        data-structure elements include a set of rule calls to a        rulesets database.    -   20. The method of claim 1, wherein the quote specific        data-structure elements include a set of lookup table calls to a        lookup tables database.    -   21. The method of claim 1, wherein the quote specific        data-structure elements include at least one expression        comprising a mathematical calculation configured to establish        parameters used in providing the reinsurance product specific        quote.    -   22. The method of claim 1, wherein the quote specific        data-structure elements include a set of insurance product        documents, including a document delivery order.    -   23. The method of claim 1, wherein the quote specific        data-structure elements include a product payment schedule.    -   24. The method of claim 1, wherein the applying logic sets to        user specifications comprises generating a block for        automatically binding an insurance policy for user        specifications that match pre-set criteria.    -   25. The method of claim 24, further comprising:        -   checking for a user exception request; and        -   providing a subset of the user specifications for            underwriter review if a user exception request exists.    -   26. The method of claim 1, wherein the applying logic sets to        user specifications comprises generating a notification flag for        user specifications that match pre-set criteria.    -   27. An apparatus to generate a reinsurance product quote,        comprising:    -   a memory;    -   a processor disposed in communication with said memory, and        configured to issue a plurality of instructions stored in the        memory, wherein the instructions issue signals to:        -   read a reinsurance product database for reinsurance product            identifying base criteria;        -   provide a reinsurance product selecting interface to display            the reinsurance product identifying base criteria and allow            a user to select among the reinsurance product identifying            base criteria;        -   load a reinsurance product data-structure from the            reinsurance product database based on a users selections            from the reinsurance product selecting interface;        -   read quote specific data-structure elements from the            reinsurance product data-structure;        -   generate a reinsurance quote user interface from the quote            specific data-structure elements;        -   provide a reinsurance quote user interface to a user;        -   receive user specifications via the reinsurance quote user            interface;        -   retrieve logic sets specified by the reinsurance product            data-structure;        -   apply logic sets to user specifications; and        -   provide a reinsurance product specific quote to the user if            the user's specifications were acceptable based on the            applying logic sets to user specifications.    -   28. The apparatus of claim 27, further, comprising:    -   prior to providing a reinsurance product specific quote:        -   provide user specifications and elements of the reinsurance            product data-structure to a risk assessment component;        -   obtain risk assessment evaluation information from the risk            assessment component;    -   wherein the product specific quote incorporates the risk        assessment evaluation information from the risk assessment        component.    -   29. The apparatus of claim 28, wherein the risk assessment        evaluation information comprises a set of financial metrics        determined based on the user's specifications.    -   30. The apparatus of claim 29, wherein the financial metrics        comprise a profit margin.    -   31. The apparatus of claim 28, wherein the risk assessment        component passes the user specifications and elements of the        reinsurance product data-structure to an external event loss        table generator, receives an event loss table therefrom, and        generates risk assessment evaluation information based on        elements of the event loss table.    -   32. The apparatus of claim 31, wherein the user specifications        and elements of the reinsurance product data-structure are        passed to the external event loss table generator via an        interface module.    -   33. The apparatus of claim 32, wherein the interface module        further comprises components configured to translate risk        assessment component coded information to external event loss        table generator coded information.    -   34. The apparatus of claim 28, wherein the risk assessment        component queries an event loss table database based on the user        specifications and elements of the reinsurance product        data-structure, receives an event loss table values therefrom,        and generates risk assessment evaluation information based on        the event loss table values.    -   35. The apparatus of claim 34, wherein the user specifications        and elements of the reinsurance product data-structure are        passed to the event loss table database via an interface module.    -   36. The apparatus of claim 35, wherein the interface module        further comprises components configured to translate risk        assessment component coded information to event loss table        database coded information.    -   37. The apparatus of claim 27, wherein the reinsurance product        data-structure comprises an XML document.    -   38. The apparatus of claim 27, wherein the user specifications        comprise information descriptive of an insurable risk.    -   39. The apparatus of claim 38, wherein the insurable risk is a        property and the reinsurance product specific quote is directed        to a property casualty reinsurance product.    -   40. The apparatus of claim 39, wherein the user specifications        comprise a property geocode.    -   41. The apparatus of claim 39, wherein the user specifications        comprise property construction characteristics.    -   42. The apparatus of claim 27, wherein the identifying base        criteria comprise an insurance carrier identifier.    -   43. The apparatus of claim 27, wherein the quote specific        data-structure elements comprise a plurality of risk        characteristic input fields.    -   44. The apparatus of claim 43, wherein the risk product specific        quote is directed to a property casualty insurance product and        the risk characteristic input fields admit information        descriptive of a property.    -   45. The apparatus of claim 27, wherein the quote specific        data-structure elements include a set of rule calls to a        rulesets database.    -   46. The apparatus of claim 27, wherein the quote specific        data-structure elements include a set of lookup table calls to a        lookup tables database.    -   47. The apparatus of claim 27, wherein the quote specific        data-structure elements include at least one expression        comprising a mathematical calculation configured to establish        parameters used in providing the reinsurance product specific        quote.    -   48. The apparatus of claim 27, wherein the quote specific        data-structure elements include a set of insurance product        documents, including a document delivery order.    -   49. The apparatus of claim 27, wherein the quote specific        data-structure elements include a product payment schedule.    -   50. The apparatus of claim 27, wherein the applying logic sets        to user specifications comprises generating a block for        automatically binding an insurance policy for user        specifications that match pre-set criteria.    -   51. The apparatus of claim 50, further comprising:        -   check for a user exception request; and        -   provide a subset of the user specifications for underwriter            review if a user exception request exists.    -   52. The apparatus of claim 27, wherein the applying logic sets        to user specifications comprises generating a notification flag        for user specifications that match pre-set criteria.    -   53. A system to generate a reinsurance product quote,        comprising:        -   means to read a reinsurance product database for reinsurance            product identifying base criteria;        -   means to provide a reinsurance product selecting interface            to display the reinsurance product identifying base criteria            and allow a user to select among the reinsurance product            identifying base criteria;        -   means to load a reinsurance product data-structure from the            reinsurance product database based on a users selections            from the reinsurance product selecting interface;        -   means to read quote specific data-structure elements from            the reinsurance product data-structure;        -   means to generate a reinsurance quote user interface from            the quote specific data-structure elements;        -   means to provide a reinsurance quote user interface to a            user;        -   means to receive user specifications via the reinsurance            quote user interface;        -   means to retrieve logic sets specified by the reinsurance            product data-structure;        -   means to apply logic sets to user specifications; and        -   means to provide a reinsurance product specific quote to the            user if the user's specifications were acceptable based on            the applying logic sets to user specifications.    -   54. The system of claim 53, further, comprising:    -   prior to providing a reinsurance product specific quote:        -   means to provide user specifications and elements of the            reinsurance product data-structure to a risk assessment            component;        -   means to obtain risk assessment evaluation information from            the risk assessment component;    -   wherein the product specific quote incorporates the risk        assessment evaluation information from the risk assessment        component.    -   55. The system of claim 54, wherein the risk assessment        evaluation information comprises a set of financial metrics        determined based on the user's specifications.    -   56. The system of claim 55, wherein the financial metrics        comprise a profit margin.    -   57. The system of claim 54, wherein the risk assessment        component passes the user specifications and elements of the        reinsurance product data-structure to an external event loss        table generator, receives an event loss table therefrom, and        generates risk assessment evaluation information based on        elements of the event loss table.    -   58. The system of claim 57, wherein the user specifications and        elements of the reinsurance product data-structure are passed to        the external event loss table generator via an interface module.    -   59. The system of claim 58, wherein the interface module further        comprises components configured to translate risk assessment        component coded information to external event loss table        generator coded information.    -   60. The system of claim 54, wherein the risk assessment        component queries an event loss table database based on the user        specifications and elements of the reinsurance product        data-structure, receives an event loss table values therefrom,        and generates risk assessment evaluation information based on        the event loss table values.    -   61. The system of claim 60, wherein the user specifications and        elements of the reinsurance product data-structure are passed to        the event loss table database via an interface module.    -   62. The system of claim 61, wherein the interface module further        comprises components configured to translate risk assessment        component coded information to event loss table database coded        information.    -   63. The system of claim 53, wherein the reinsurance product        data-structure comprises an XML document.    -   64. The system of claim 53, wherein the user specifications        comprise information descriptive of an insurable risk.    -   65. The system of claim 64, wherein the insurable risk is a        property and the reinsurance product specific quote is directed        to a property casualty reinsurance product.    -   66. The system of claim 65, wherein the user specifications        comprise a property geocode.    -   67. The system of claim 65, wherein the user specifications        comprise property construction characteristics.    -   68. The system of claim 53, wherein the identifying base        criteria comprise an insurance carrier identifier.    -   69. The system of claim 53, wherein the quote specific        data-structure elements comprise a plurality of risk        characteristic input fields.    -   70. The system of claim 69, wherein the risk product specific        quote is directed to a property casualty insurance product and        the risk characteristic input fields admit information        descriptive of a property.    -   71. The system of claim 53, wherein the quote specific        data-structure elements include a set of rule calls to a        rulesets database.    -   72. The system of claim 53, wherein the quote specific        data-structure elements include a set of lookup table calls to a        lookup tables database.    -   73. The system of claim 53, wherein the quote specific        data-structure elements include at least one expression        comprising a mathematical calculation configured to establish        parameters used in providing the reinsurance product specific        quote.    -   74. The system of claim 53, wherein the quote specific        data-structure elements include a set of insurance product        documents, including a document delivery order.    -   75. The system of claim 53, wherein the quote specific        data-structure elements include a product payment schedule.    -   76. The system of claim 53, wherein the applying logic sets to        user specifications comprises generating a block for        automatically binding an insurance policy for user        specifications that match pre-set criteria.    -   77. The system of claim 76, further comprising:        -   means to check for a user exception request; and        -   means to provide a subset of the user specifications for            underwriter review if a user exception request exists.    -   78. The system of claim 53, wherein the applying logic sets to        user specifications comprises generating a notification flag for        user specifications that match pre-set criteria.    -   79. A medium readable by a processor to generate a reinsurance        product quote, comprising:    -   instruction signals in the processor readable medium, wherein        the instruction signals are issuable by the processor to:        -   read a reinsurance product database for reinsurance product            identifying base criteria;        -   provide a reinsurance product selecting interface to display            the reinsurance product identifying base criteria and allow            a user to select among the reinsurance product identifying            base criteria;        -   load a reinsurance product data-structure from the            reinsurance product database based on a users selections            from the reinsurance product selecting interface;        -   read quote specific data-structure elements from the            reinsurance product data-structure;        -   generate a reinsurance quote user interface from the quote            specific data-structure elements;        -   provide a reinsurance quote user interface to a user;        -   receive user specifications via the reinsurance quote user            interface;        -   retrieve logic sets specified by the reinsurance product            data-structure;        -   apply logic sets to user specifications; and        -   provide a reinsurance product specific quote to the user if            the user's specifications were acceptable based on the            applying logic sets to user specifications.    -   80. The medium of claim 79, further, comprising:    -   prior to providing a reinsurance product specific quote:        -   provide user specifications and elements of the reinsurance            product data-structure to a risk assessment component;        -   obtain risk assessment evaluation information from the risk            assessment component;    -   wherein the product specific quote incorporates the risk        assessment evaluation information from the risk assessment        component.    -   81. The medium of claim 80, wherein the risk assessment        evaluation information comprises a set of financial metrics        determined based on the user's specifications.    -   82. The medium of claim 81, wherein the financial metrics        comprise a profit margin.    -   83. The medium of claim 80, wherein the risk assessment        component passes the user specifications and elements of the        reinsurance product data-structure to an external event loss        table generator, receives an event loss table therefrom, and        generates risk assessment evaluation information based on        elements of the event loss table.    -   84. The medium of claim 83, wherein the user specifications and        elements of the reinsurance product data-structure are passed to        the external event loss table generator via an interface module.    -   85. The medium of claim 84, wherein the interface module further        comprises components configured to translate risk assessment        component coded information to external event loss table        generator coded information.    -   86. The medium of claim 80, wherein the risk assessment        component queries an event loss table database based on the user        specifications and elements of the reinsurance product        data-structure, receives an event loss table values therefrom,        and generates risk assessment evaluation information based on        the event loss table values.    -   87. The medium of claim 86, wherein the user specifications and        elements of the reinsurance product data-structure are passed to        the event loss table database via an interface module.    -   88. The medium of claim 87, wherein the interface module further        comprises components configured to translate risk assessment        component coded information to event loss table database coded        information.    -   89. The medium of claim 79, wherein the reinsurance product        data-structure comprises an XML document.    -   90. The medium of claim 79, wherein the user specifications        comprise information descriptive of an insurable risk.    -   91. The medium of claim 90, wherein the insurable risk is a        property and the reinsurance product specific quote is directed        to a property casualty reinsurance product.    -   92. The medium of claim 91, wherein the user specifications        comprise a property geocode.    -   93. The medium of claim 91, wherein the user specifications        comprise property construction characteristics.    -   94. The medium of claim 79, wherein the identifying base        criteria comprise an insurance carrier identifier.    -   95. The medium of claim 79, wherein the quote specific        data-structure elements comprise a plurality of risk        characteristic input fields.    -   96. The medium of claim 95, wherein the risk product specific        quote is directed to a property casualty insurance product and        the risk characteristic input fields admit information        descriptive of a property.    -   97. The medium of claim 79, wherein the quote specific        data-structure elements include a set of rule calls to a        rulesets database.    -   98. The medium of claim 79, wherein the quote specific        data-structure elements include a set of lookup table calls to a        lookup tables database.    -   99. The medium of claim 79, wherein the quote specific        data-structure elements include at least one expression        comprising a mathematical calculation configured to establish        parameters used in providing the reinsurance product specific        quote.    -   100. The medium of claim 79, wherein the quote specific        data-structure elements include a set of insurance product        documents, including a document delivery order.    -   101. The medium of claim 79, wherein the quote specific        data-structure elements include a product payment schedule.    -   102. The medium of claim 79, wherein the applying logic sets to        user specifications comprises generating a block for        automatically binding an insurance policy for user        specifications that match pre-set criteria.    -   103. The a medium of claim 102, further comprising:        -   check for a user exception request; and        -   provide a subset of the user specifications for underwriter            review if a user exception request exists.    -   104. The medium of claim 79, wherein the applying logic sets to        user specifications comprises generating a notification flag for        user specifications that match pre-set criteria.    -   1. A processor-implemented method to provide a reinsurance        product risk assessment, comprising:        -   reading a reinsurance product database for reinsurance            product identifying base criteria;        -   providing a reinsurance product selecting interface to            display the reinsurance product identifying base criteria            and allow a user to select among the reinsurance product            identifying base criteria;        -   loading a reinsurance product data-structure from the            reinsurance product database based on a user's selections            from the reinsurance product selecting interface;        -   reading risk specific data-structure elements from the            reinsurance product data-structure;        -   generating a reinsurance risk user interface from the risk            specific data-structure elements;        -   providing a reinsurance risk user interface to a user;        -   receiving user specifications via the reinsurance risk user            interface;        -   retrieving logic sets specified by the reinsurance product            data-structure;        -   applying logic sets to user specifications;        -   providing a reinsurance product specific risk assessment to            the user if the user's specifications were acceptable.    -   2. The method of claim 1, wherein the reinsurance product        data-structure comprises an XML document.    -   3. The method of claim 1, wherein the risk specific        data-structure elements comprise input fields admitting        information descriptive of an insurable risk.    -   4. The method of claim 3, wherein the insurable risk is a        property and the reinsurance product specific quote is directed        to a property casualty reinsurance product.    -   5. The method of claim 4, wherein the user specifications        comprise a property geocode.    -   6. The method of claim 4, wherein the user specifications        comprise property construction characteristics.    -   7. The method of claim 1, wherein the risk specific        data-structure elements include a set of lookup table calls to a        lookup tables database.    -   8. The method of claim 1, wherein the reinsurance product        specific risk assessment comprises at least one financial        metric.    -   9. The method of claim 8, wherein the financial metric comprises        a profit margin.    -   10. The method of claim 1, wherein providing a reinsurance        product specific risk assessment comprises:    -   passing the user specifications and elements of the risk        specific data-structure to an external event loss table        generator;    -   receiving an event loss table from the external event loss table        generator corresponding to the user specifications and elements        of the risk specific data-structure; and    -   generating a reinsurance product specific risk assessment based        on elements of the event loss table.    -   11. The method of claim 10, wherein the user specifications and        elements of the risk specific data-structure are passed to the        external event loss table generator via an interface module.    -   12. The method of claim 11, wherein the interface module further        comprises components configured to translate risk specific        data-structure coded information to external event loss table        generator coded information.    -   13. The method of claim 1, providing a reinsurance product        specific risk assessment comprises:    -   querying an event loss table database based on the user        specifications and elements of the risk specific data-structure;    -   receiving event loss table values from the event loss table        database; and    -   generating risk assessment evaluation information based on the        event loss table values.    -   14. The method of claim 13, wherein the user specifications and        elements of the risk specific data-structure are passed to the        event loss table database via an interface module.    -   15. The method of claim 14, wherein the interface module further        comprises components configured to translate risk specific        data-structure coded information to event loss table database        coded information.    -   16. An apparatus to provide a reinsurance product risk        assessment, comprising:    -   a memory;    -   a processor disposed in communication with said memory, and        configured to issue a plurality of instructions stored in the        memory, wherein the instructions issue signals to:        -   read a reinsurance product database for reinsurance product            identifying base criteria;        -   provide a reinsurance product selecting interface to display            the reinsurance product identifying base criteria and allow            a user to select among the reinsurance product identifying            base criteria;        -   load a reinsurance product data-structure from the            reinsurance product database based on a user's selections            from the reinsurance product selecting interface;        -   read risk specific data-structure elements from the            reinsurance product data-structure;        -   generate a reinsurance risk user interface from the risk            specific data-structure elements;        -   provide a reinsurance risk user interface to a user;        -   receive user specifications via the reinsurance risk user            interface;        -   retrieve logic sets specified by the reinsurance product            data-structure;        -   apply logic sets to user specifications;        -   provide a reinsurance product specific risk assessment to            the user if the user's specifications were acceptable.    -   17. The apparatus of claim 16, wherein the reinsurance product        data-structure comprises an XML document.    -   18. The apparatus of claim 16, wherein the risk specific        data-structure elements comprise input fields admitting        information descriptive of an insurable risk.    -   19. The apparatus of claim 18, wherein the insurable risk is a        property and the reinsurance product specific quote is directed        to a property casualty reinsurance product.    -   20. The apparatus of claim 19, wherein the user specifications        comprise a property geocode.    -   21. The apparatus of claim 19, wherein the user specifications        comprise property construction characteristics.    -   22. The apparatus of claim 16, wherein the risk specific        data-structure elements include a set of lookup table calls to a        lookup tables database.    -   23. The apparatus of claim 16, wherein the reinsurance product        specific risk assessment comprises at least one financial        metric.    -   24. The apparatus of claim 23, wherein the financial metric        comprises a profit margin.    -   25. The apparatus of claim 16, wherein providing a reinsurance        product specific risk assessment comprises:    -   pass the user specifications and elements of the risk specific        data-structure to an external event loss table generator;    -   receive an event loss table from the external event loss table        generator corresponding to the user specifications and elements        of the risk specific data-structure; and    -   generate a reinsurance product specific risk assessment based on        elements of the event loss table.    -   26. The apparatus of claim 25, wherein the user specifications        and elements of the risk specific data-structure are passed to        the external event loss table generator via an interface module.    -   27. The apparatus of claim 26, wherein the interface module        further comprises components configured to translate risk        specific data-structure coded information to external event loss        table generator coded information.    -   28. The apparatus of claim 16, providing a reinsurance product        specific risk assessment comprises:    -   query an event loss table database based on the user        specifications and elements of the risk specific data-structure;    -   receive event loss table values from the event loss table        database; and    -   generate risk assessment evaluation information based on the        event loss table values.    -   29. The apparatus of claim 28, wherein the user specifications        and elements of the risk specific data-structure are passed to        the event loss table database via an interface module.    -   30. The apparatus of claim 28, wherein the interface module        further comprises components configured to translate risk        specific data-structure coded information to event loss table        database coded information.    -   31. A system to provide a reinsurance product risk assessment,        comprising:        -   means to read a reinsurance product database for reinsurance            product identifying base criteria;        -   means to provide a reinsurance product selecting interface            to display the reinsurance product identifying base criteria            and allow a user to select among the reinsurance product            identifying base criteria;        -   means to load a reinsurance product data-structure from the            reinsurance product database based on a user's selections            from the reinsurance product selecting interface;        -   means to read risk specific data-structure elements from the            reinsurance product data-structure;        -   means to generate a reinsurance risk user interface from the            risk specific data-structure elements;        -   means to provide a reinsurance risk user interface to a            user;        -   means to receive user specifications via the reinsurance            risk user interface;        -   means to retrieve logic sets specified by the reinsurance            product data-structure;        -   means to apply logic sets to user specifications;        -   means to provide a reinsurance product specific risk            assessment to the user if the user's specifications were            acceptable.    -   32. The system of claim 31, wherein the reinsurance product        data-structure comprises an XML document.    -   33. The system of claim 31, wherein the risk specific        data-structure elements comprise input fields admitting        information descriptive of an insurable risk.    -   34. The system of claim 33, wherein the insurable risk is a        property and the reinsurance product specific quote is directed        to a property casualty reinsurance product.    -   35. The system of claim 34, wherein the user specifications        comprise a property geocode.    -   36. The system of claim 34, wherein the user specifications        comprise property construction characteristics.    -   37. The system of claim 31, wherein the risk specific        data-structure elements include a set of lookup table calls to a        lookup tables database.    -   38. The system of claim 31, wherein the reinsurance product        specific risk assessment comprises at least one financial        metric.    -   39. The system of claim 38, wherein the financial metric        comprises a profit margin.    -   40. The system of claim 31, wherein providing a reinsurance        product specific risk assessment comprises:    -   means to pass the user specifications and elements of the risk        specific data-structure to an external event loss table        generator;    -   means to receive an event loss table from the external event        loss table generator corresponding to the user specifications        and elements of the risk specific data-structure; and    -   means to generate a reinsurance product specific risk assessment        based on elements of the event loss table.    -   41. The system of claim 40, wherein the user specifications and        elements of the risk specific data-structure are passed to the        external event loss table generator via an interface module.    -   42. The system of claim 41, wherein the interface module further        comprises components configured to translate risk specific        data-structure coded information to external event loss table        generator coded information.    -   43. The system of claim 31, providing a reinsurance product        specific risk assessment comprises:    -   means to query an event loss table database based on the user        specifications and elements of the risk specific data-structure;    -   means to receive event loss table values from the event loss        table database; and    -   means to generate risk assessment evaluation information based        on the event loss table values.    -   44. The system of claim 43, wherein the user specifications and        elements of the risk specific data-structure are passed to the        event loss table database via an interface module.    -   45. The system of claim 44, wherein the interface module further        comprises components configured to translate risk specific        data-structure coded information to event loss table database        coded information.    -   46. A medium readable by a processor to provide a reinsurance        product risk assessment, comprising:    -   instruction signals in the processor readable medium, wherein        the instruction signals are issuable by the processor to:        -   read a reinsurance product database for reinsurance product            identifying base criteria;        -   provide a reinsurance product selecting interface to display            the reinsurance product identifying base criteria and allow            a user to select among the reinsurance product identifying            base criteria;        -   load a reinsurance product data-structure from the            reinsurance product database based on a user's selections            from the reinsurance product selecting interface;        -   read risk specific data-structure elements from the            reinsurance product data-structure;        -   generate a reinsurance risk user interface from the risk            specific data-structure elements;        -   provide a reinsurance risk user interface to a user;        -   receive user specifications via the reinsurance risk user            interface;        -   retrieve logic sets specified by the reinsurance product            data-structure;        -   apply logic sets to user specifications;        -   provide a reinsurance product specific risk assessment to            the user if the user's specifications were acceptable.    -   47. The medium of claim 46, wherein the reinsurance product        data-structure comprises an XML document.    -   48. The medium of claim 46, wherein the risk specific        data-structure elements comprise input fields admitting        information descriptive of an insurable risk.    -   49. The medium of claim 48, wherein the insurable risk is a        property and the reinsurance product specific quote is directed        to a property casualty reinsurance product.    -   50. The medium of claim 49, wherein the user specifications        comprise a property geocode.    -   51. The medium of claim 49, wherein the user specifications        comprise property construction characteristics.    -   52. The medium of claim 46, wherein the risk specific        data-structure elements include a set of lookup table calls to a        lookup tables database.    -   53. The medium of claim 46, wherein the reinsurance product        specific risk assessment comprises at least one financial        metric.    -   54. The medium of claim 53, wherein the financial metric        comprises a profit margin.    -   55. The medium of claim 46, wherein providing a reinsurance        product specific risk assessment comprises:    -   pass the user specifications and elements of the risk specific        data-structure to an external event loss table generator;    -   receive an event loss table from the external event loss table        generator corresponding to the user specifications and elements        of the risk specific data-structure; and    -   generate a reinsurance product specific risk assessment based on        elements of the event loss table.    -   56. The medium of claim 55, wherein the user specifications and        elements of the risk specific data-structure are passed to the        external event loss table generator via an interface module.    -   57. The medium of claim 56, wherein the interface module further        comprises components configured to translate risk specific        data-structure coded information to external event loss table        generator coded information.    -   58. The medium of claim 46, providing a reinsurance product        specific risk assessment comprises:    -   query an event loss table database based on the user        specifications and elements of the risk specific data-structure;    -   receive event loss table values from the event loss table        database; and    -   generate risk assessment evaluation information based on the        event loss table values.    -   59. The medium of claim 58, wherein the user specifications and        elements of the risk specific data-structure are passed to the        event loss table database via an interface module.    -   60. The medium of claim 59, wherein the interface module further        comprises components configured to translate risk specific        data-structure coded information to event loss table database        coded information.    -   1. A system for authoring an insurance product comprising:        -   a display configured to present product information and            authoring instructions to an author;    -   an author input device configured to receive product        configuration instructions and data from an author;    -   an authoring module comprising:        -   a product creator module coupled to the author input device            to receive product configuration instructions from the            author and to provide product configuration tables based            upon said product configuration instructions;        -   a product building module coupled to the product creator            module and configured to receive the tables and to assemble            an authored insurance product based upon the tables;        -   a forms module coupled to the product building module to            receive insurance product information and to display author            configurable forms for use with the authored insurance            product.    -   1. A processor-implemented method for evaluating the        profitability and rates associated with a new insurance policy,        comprising:        -   identifying a property and its characteristics;        -   determining a geographic location of the property;        -   determining, based upon the geographic location of the            property, the profitability associated with issuing the            insurance policy for the property; and    -   determining, based upon the profitability, whether to bind        coverage on the policy.    -   2. The method of claim 1 wherein determining the profitability        comprises:    -   determining in real-time the profitability associated with a        particular property using probabilistic loss data.    -   3. The method of claim 1 wherein the profitability is the        marginal profitability of the new insurance policy to a        portfolio of insurance policies.    -   1. A processor-implemented method for enabling a user to author        and run logical rules, comprising:        -   providing a first graphical user interface for receiving            user input to establish a plurality of logical rules in a            ruleset, each rule including a rule expression, a logical            function and a data field;        -   evaluating each logical rule in the ruleset; and        -   displaying, in a second graphical user interface, the            results of the evaluating.    -   2. The method of claim 1, further comprising:        -   processing a Web site to identify data fields available on            the Web site; and        -   providing in a graphical user interface the contents of the            data fields for use in establishing a rule.    -   3. The method of claim 1, further comprising:        -   providing a third graphical user interface with which a user            may test the operation of a rule.    -   1. A processor-implemented method for processing insurance        policy data, comprising:        -   generating an editable XML document, the XML document            including editable sections for: a) identifying and            inputting insurance policy quote data, and b) processing the            quote data to generate a policy quote; and        -   making the editable XML document available for alteration.    -   2. The method of claim 1, wherein the editable XML document        further comprises a section for outputting the quote.    -   3. The method of claim 1, wherein the editable XML document        further comprises a section for generating an insurance policy        application for the insurance policy of the quote.

The entirety of this disclosure (including the Cover Page, Title,Headings, Field, Background, Summary, Brief Description of the Drawings,Detailed Description, Claims, Abstract, Figures, and otherwise) shows byway of illustration various embodiments in which the claimed inventionsmay be practiced. The advantages and features of the disclosure are of arepresentative sample of embodiments only, and are not exhaustive and/orexclusive. They are presented only to assist in understanding and teachthe claimed principles. It should be understood that they are notrepresentative of all claimed inventions. As such, certain aspects ofthe disclosure have not been discussed herein. That alternateembodiments may not have been presented for a specific portion of theinvention or that further undescribed alternate embodiments may beavailable for a portion is not to be considered a disclaimer of thosealternate embodiments. It will be appreciated that many of thoseundescribed embodiments incorporate the same principles of the inventionand others are equivalent. Thus, it is to be understood that otherembodiments may be utilized and functional, logical, organizational,structural and/or topological modifications may be made withoutdeparting from the scope and/or spirit of the disclosure. As such, allexamples and/or embodiments are deemed to be non-limiting throughoutthis disclosure. Also, no inference should be drawn regarding thoseembodiments discussed herein relative to those not discussed hereinother than it is as such for purposes of reducing space and repetition.For instance, it is to be understood that the logical and/or topologicalstructure of any combination of any program components (a componentcollection), other components and/or any present feature sets asdescribed in the figures and/or throughout are not limited to a fixedoperating order and/or arrangement, but rather, any disclosed order isexemplary and all equivalents, regardless of order, are contemplated bythe disclosure. Furthermore, it is to be understood that such featuresare not limited to serial execution, but rather, any number of threads,processes, services, servers, and/or the like that may executeasynchronously, concurrently, in parallel, simultaneously,synchronously, and/or the like are contemplated by the disclosure. Assuch, some of these features may be mutually contradictory, in that theycannot be simultaneously present in a single embodiment. Similarly, somefeatures are applicable to one aspect of the invention, and inapplicableto others. In addition, the disclosure includes other inventions notpresently claimed. Applicant reserves all rights in those presentlyunclaimed inventions including the right to claim such inventions, fileadditional applications, continuations, continuations in part,divisions, and/or the like thereof. As such, it should be understoodthat advantages, embodiments, examples, functional features, logical,organizational, structural, topological, and/or other aspects of thedisclosure are not to be considered limitations on the disclosure asdefined by the claims or limitations on equivalents to the claims.

1. A processor-implemented method to generate a reinsurance product quote, comprising: instantiating a base program; reading a reinsurance product database for reinsurance product identifying base criteria from the base program; providing a reinsurance product selecting interface to display the reinsurance product identifying base criteria and allow a user to select among the reinsurance product identifying base criteria; loading a reinsurance product data-structure from the reinsurance product database based on a users selections from the reinsurance product selecting interface; reading quote specific data-structure elements from the reinsurance product data-structure; generating via a processor a reinsurance quote user interface from the quote specific data-structure elements; providing a reinsurance quote user interface to a user; receiving user specifications via the reinsurance quote user interface; retrieving external logic sets specified by the reinsurance product data-structure and dynamically integrating the logic sets into the base program for execution without interrupting the base program, wherein the logic sets are configured to dynamically or periodically update data sets associated with the logic sets; retrieving logic sets specified by the reinsurace product data-structure; executing logic sets with user specifications; and providing a reinsurance product specific quote to the user if the user's specifications were acceptable based on the applying logic sets to user specifications.
 2. The method of claim 1, further, comprising: prior to providing a reinsurance product specific quote: providing user specifications and elements of the reinsurance product data-structure to a risk assessment component; obtaining risk assessment evaluation information from the risk assessment component; wherein the product specific quote incorporates the risk assessment evaluation information from the risk assessment component.
 3. The method of claim 2, wherein the risk assessment evaluation information comprises a set of financial metrics determined based on the user's specifications.
 4. The method of claim 3, wherein the financial metrics comprise a profit margin.
 5. The method of claim 2, wherein the risk assessment component passes the user specifications and elements of the reinsurance product data-structure to an external event loss table generator, receives an event loss table therefrom, and generates risk assessment evaluation information based on elements of the event loss table.
 6. The method of claims, wherein the user specifications and elements of the reinsurance product data-structure are passed to the external event loss table generator via an interface module.
 7. The method of claim 6, wherein the interface module further comprises components configured to translate risk assessment component coded information to external event loss table generator coded information.
 8. The method of claim 2, wherein the risk assessment component queries an event loss table database based on the user specifications and elements of the reinsurance product data-structure, receives an event loss table values therefrom, and generates risk assessment evaluation information based on the event loss table values.
 9. The method of claim 8, wherein the user specifications and elements of the reinsurance product data-structure are passed to the event loss table database via an interface module.
 10. The method of claim 9, wherein the interface module further comprises components configured to translate risk assessment component coded information to event loss table database coded information.
 11. The method of claim 1, wherein the reinsurance product data-structure comprises an XML document.
 12. The method of claim 1, wherein the user specifications comprise information descriptive of an insurable risk.
 13. The method of claim 12, wherein the insurable risk is a property and the reinsurance product specific quote is directed to a property casualty reinsurance product.
 14. The method of claim 13, wherein the user specifications comprise a property geocode.
 15. The method of claim 13, wherein the user specifications comprise property construction characteristics.
 16. The method of claim 1, wherein the identifying base criteria comprise an insurance carrier identifier.
 17. The method of claim 1, wherein the quote specific data-structure elements comprise a plurality of risk characteristic input fields.
 18. The method of claim 17, wherein the risk product specific quote is directed to a property casualty insurance product and the risk characteristic input fields admit information descriptive of a property.
 19. The method of claim 1, wherein the quote specific data-structure elements include a set of rule calls to a rulesets database.
 20. The method of claim 1, wherein the quote specific data-structure elements include a set of lookup table calls to a lookup tables database.
 21. The method of claim 1, wherein the quote specific data-structure elements include at least one expression comprising a mathematical calculation configured to establish parameters used in providing the reinsurance product specific quote.
 22. The method of claim 1, wherein the quote specific data-structure elements include a set of insurance product documents, including a document delivery order.
 23. The method of claim 1, wherein the quote specific data-structure elements include a product payment schedule.
 24. The method of claim 1, wherein the applying logic sets to user specifications comprises generating a block for automatically binding an insurance policy for user specifications that match pre-set criteria.
 25. The method of claim 24, further comprising: checking for a user exception request; and providing a subset of the user specifications for underwriter review if a user exception request exists.
 26. The method of claim 1, wherein the applying logic sets to user specifications comprises generating a notification flag for user specifications that match pre-set criteria.
 27. The method of claim 1, further comprising evaluating the profitability and rates associated with a new insurance policy, wherein the evaluation comprises: identifying a property and its characteristics, determining a geographic location of the property, determining, based upon the geographic location of the property, the profitability associated with issuing the insurance policy for the property, and determining, based upon the profitability, whether to bind coverage on the policy.
 28. The method of claim 27, wherein determining the profitability comprises: determining in real-time the profitability associated with a particular property using probabilistic loss data.
 29. The method of claim 27, wherein the profitability is the marginal profitability of the new insurance policy to a portfolio of insurance policies.
 30. An apparatus to generate a reinsurance product quote, comprising: a memory; a processor disposed in communication with said memory, and configured to issue a plurality of instructions stored in the memory, wherein the instructions issue signals to: instantiate a base program; read a reinsurance product database for reinsurance product identifying base criteria from the base program; provide a reinsurance product selecting interface to display the reinsurance product identifying base criteria and allow a user to select among the reinsurance product identifying base criteria; load a reinsurance product data-structure from the reinsurance product database based on a users selections from the reinsurance product selecting interface; read quote specific data-structure elements from the reinsurance product data-structure; generate a reinsurance quote user interface from the quote specific data-structure elements; provide a reinsurance quote user interface to a user; receive user specifications via the reinsurance quote user interface; retrieve external logic sets specified by the reinsurance product data-structure and dynamically integrate the logic sets into the base program for execution without interrupting the base program, wherein the logic sets are configured to dynamically or periodically update data sets associated with the logic sets; execute logic sets with user specifications; and provide a reinsurance product specific quote to the user if the user's specifications were acceptable based on the applying logic sets to user specifications.
 31. A system to generate a reinsurance product quote, comprising: means to instantiate a base program; means to read a reinsurance product database for reinsurance product identifying base criteria from the base program; means to provide a reinsurance product selecting interface to display the reinsurance product identifying base criteria and allow a user to select among the reinsurance product identifying base criteria; means to load a reinsurance product data-structure from the reinsurance product database based on a users selections from the reinsurance product selecting interface; means to read quote specific data-structure elements from the reinsurance product data-structure; means to generate a reinsurance quote user interface from the quote specific data-structure elements; means to provide a reinsurance quote user interface to a user; means to receive user specifications via the reinsurance quote user interface; means to retrieve external logic sets specified by the reinsurance product data-structure and dynamically integrate the logic sets into the base program for execution without interrupting the base program, wherein the logic sets are configured to dynamically or periodically update data sets associated with the logic sets; means to execute logic sets with user specifications; and means to provide a reinsurance product specific quote to the user if the user's specifications were acceptable based on the applying logic sets to user specifications.
 32. A medium readable by a processor to generate a reinsurance product quote, comprising: instruction signals in the processor readable medium, wherein the instruction signals are issuable by the processor to: instantiate a base program; read a reinsurance product database for reinsurance product identifying base criteria from the base program; provide a reinsurance product selecting interface to display the reinsurance product identifying base criteria and allow a user to select among the reinsurance product identifying base criteria; load a reinsurance product data-structure from the reinsurance product database based on a users selections from the reinsurance product selecting interface; read quote specific data-structure elements from the reinsurance product data-structure; generate a reinsurance quote user interface from the quote specific data-structure elements; provide a reinsurance quote user interface to a user; receive user specifications via the reinsurance quote user interface; retrieve external logic sets specified by the reinsurance product data-structure; apply logic sets to user specifications and dynamically integrate the logic sets into the base program for execution without interrupting the base program, wherein the logic sets are configured to dynamically or periodically update data sets associated with the logic sets; and provide a reinsurance product specific quote to the user if the user's specifications were acceptable based on the applying logic sets to user specifications. 